Abdallah, ME & Waldron, KJ 2013, 'Duty Factor and Leg Stiffness Models for the Design of Running Bipeds' in Mechanisms and Machine Science, Springer International Publishing, pp. 275-293.
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© 2013, Springer International Publishing Switzerland. Supporting the design process for running biped robots, analytical models are presented for two aspects of running: the duty factor (DF) of the gait, and the stiffness value of the leg. For a given running speed, an optimal DF exists that minimizes the energy expenditure. We present a formula for the optimal DF based on a model of the energetics, and the results are compared to both human data and simulation results. In addition, a model is presented for the stiffness value of the leg as a function of the physical properties, speed, and DF. The Gait Resonance Point is proposed as a design target for compliant running. At this point, the gait matches the spring resonance and the stiffness value becomes independent of the DF.
Fitch, R & McAllister, R 2013, 'Hierarchical Planning for Self-reconfiguring Robots Using Module Kinematics', Springer, Germany, pp. 477-490.
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Reconfiguration allows a self-reconfiguring modular robot to adapt to its environment. The reconfiguration planning problem is one of the key algorithmic challenges in realizing self-reconfiguration. Many existing successful approaches rely on grouping modules together to act as meta-modules. However, we are interested in reconfiguration planning that does not impose fixed meta-module relationships but instead forms cooperative relationships between modules dynamically. This approach avoids the need to hand-code meta-module motions and potentially allows reconfiguration with fewer modules. In this paper we present a general two level reconfiguration framework. The top level plans in module-connector space using distributed dynamic programming. The lower level accepts a transition function for the kinematic model of the chosen module type as input. As an example, we implement such a transition function for the 3R, SuperBot-style module. Although not explored in this paper, this general approach is naturally extended to consider power use, clock time, or other quantities of interest. © 2013 Springer-Verlag.
Manjula & Waldron, KJ 2013, 'Design for Inclusivity: Meaningful Collaboration with Differences' in Kumar, V, Schmiedler, J & Sreenivasan, SV (eds), Mechanisms and Machine Science, Springer International Publishing, pp. 1-16.
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The ubiquitous availability of the internet for global networking has
made collaborating by differences necessary. This is challenging because of the
human history of tribal organizations. In this paper we draw from our 45 years
of personal and professional journey together to elicit the skills that have helped
us to successfully engage across racial, cultural, and academic differences. It
required designing new rules of social and academic engagement that changed
how we related with the “other”. We rely on these techniques daily to inform us
on how to facilitate collaboration in any situation capitalizing on the diversity of
thought, body, experience, belief, and/or training while focusing on the similarity
of our journey.
Peynot, T, Fitch, R, McAllister, R & Alempijevic, A 2013, 'Resilient Navigation through Probabilistic Modality Reconfiguration', Springer Verlag, Berlin, Germany, pp. 75-88.
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This paper proposes an approach to achieve resilient navigation for indoor mobile robots. Resilient navigation seeks to mitigate the impact of control, localisation, or map errors on the safety of the platform while enforcing the robot's ability to achieve its goal. We show that resilience to unpredictable errors can be achieved by combining the benefits of independent and complementary algorithmic approaches to navigation, or modalities, each tuned to a particular type of environment or situation. In this paper, the modalities comprise a path planning method and a reactive motion strategy. While the robot navigates, a Hidden Markov Model continually estimates the most appropriate modality based on two types of information: context (information known a priori) and monitoring (evaluating unpredictable aspects of the current situation). The robot then uses the recommended modality, switching between one and another dynamically. Experimental validation with a SegwayRMP-based platform in an office environment shows that our approach enables failure mitigation while maintaining the safety of the platform. The robot is shown to reach its goal in the presence of: 1) unpredicted control errors, 2) unexpected map errors and 3) a large injected localisation fault. © 2013 Springer-Verlag.
Piyathilaka, L & Kodagoda, S 2013, 'Human Activity Recognition for Domestic Robots.' in Alvarez, LM, Corke, PI & Roberts, JM (eds), Field and Service Robotics - Results of the 9th International Conference, December 9-11, 2013, Brisbane, Australia, Springer, Springer, pp. 395-408.
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Waldron, KJ, Tokhi, MO & Virk, GS 2013, 'FRONT MATTER' in Nature-Inspired Mobile Robotics, WORLD SCIENTIFIC, USA, pp. i-xxii.
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Ward, P, Liu, D, Waldron, K & Hasan, M 2013, 'OPTIMAL DESIGN OF A MAGNETIC ADHESION FOR CLIMBING ROBOTS' in Waldron, KJ & Tokhi, MO (eds), Nature-Inspired Mobile Robotics, World Scientific Publishing, Singapore, pp. 375-382.
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© 2013 by World Scientific Publishing Co. Pte. Ltd. All rights reserved. Designing a magnetic adhesion system for climbing robots requires careful selection of design parameters to achieve a feasible solution. There are many considerations which must be taken into account, such as, size constraints for the intended environment and robot configuration, the maximum load that can be supported by the climbing robot, and the expected air gaps during operation. With consideration of the design challenges, an optimal design for a magnetic adhesion system is presented. Based on the optimal design a prototype footpad has been constructed for use on an inchworm climbing robot and experimental results are presented.
Yoo, C, Fitch, R & Sukkarieh, S 2013, 'Probabilistic Temporal Logic for Motion Planning with Resource Threshold Constraints' in Roy, N, Newman, P & Srinivasa, S (eds), Robotics: Science and Systems VIII, Robotics: Science and Systems Foundation, UK, pp. 457-464.
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© 2013 Massachusetts Institute of Technology. Temporal logic and model-checking are useful theoretical tools for specifying complex goals at the task level and formally verifying the performance of control policies. We are interested in tasks that involve constraints on real-valued energy resources. In particular, autonomous gliding aircraft gain energy in the form of altitude by exploiting wind currents and must maintain altitude within some range during motion planning. We propose an extension to probabilistic computation tree logic that expresses such real-valued resource threshold constraints, and present model-checking algorithms that evaluate a piecewise control policy with respect to a formal specification and hard or soft performance guarantees. We validate this approach through simulated examples of motion planning among obstacles for an autonomous thermal glider. Our results demonstrate probabilistic performance guarantees on the ability of the glider to complete its task, following a given piecewise control policy, without knowing the exact path of the glider in advance.
Yoo, C, Fitch, R & Sukkarieh, S 2013, 'Probabilistic Temporal Logic for Motion Planning with Resource Threshold Constraints' in Robotics, The MIT Press, pp. 457-464.
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Abeywardena, D, Kodagoda, S, Dissanayake, G & Munasinghe, R 2013, 'Improved State Estimation in Quadrotor MAVs A Novel Drift-Free Velocity Estimator', IEEE ROBOTICS & AUTOMATION MAGAZINE, vol. 20, no. 4, pp. 32-39.
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In this article, we presented a novel state estimator for quadrotor MAVs, where clear improvements in estimates stemming from the incorporation of quadrotor-specific dynamical constraints were demonstrated. Our design is based on an EKF and is capable of estimating both roll and pitch angles of the attitude, in addition to X and Y components of the body frame translational velocities within a bounded error. This estimator is applied to inertial data gathered from real-world flight experiments. The resulting attitude and velocity estimates obtained match closely with the ground truth and are drift free.
Brunner, C, Peynot, T, Vidal‐Calleja, T & Underwood, J 2013, 'Selective Combination of Visual and Thermal Imaging for Resilient Localization in Adverse Conditions: Day and Night, Smoke and Fire', Journal of Field Robotics, vol. 30, no. 4, pp. 641-666.
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Long‐term autonomy in robotics requires perception systems that are resilient to unusual but realistic conditions that will eventually occur during extended missions. For example, unmanned ground vehicles (UGVs) need to be capable of operating safely in adverse and low‐visibility conditions, such as at night or in the presence of smoke. The key to a resilient UGV perception system lies in the use of multiple sensor modalities, e.g., operating at different frequencies of the electromagnetic spectrum, to compensate for the limitations of a single sensor type. In this paper, visual and infrared imaging are combined in a Visual‐SLAM algorithm to achieve localization. We propose to evaluate the quality of data provided by each sensor modality prior to data combination. This evaluation is used to discard low‐quality data, i.e., data most likely to induce large localization errors. In this way, perceptual failures are anticipated and mitigated. An extensive experimental evaluation is conducted on data sets collected with a UGV in a range of environments and adverse conditions, including the presence of smoke (obstructing the visual camera), fire, extreme heat (saturating the infrared camera), low‐light conditions (dusk), and at night with sudden variations of artificial light. A total of 240 trajectory estimates are obtained using five different variations of data sources and data combination strategies in the localization method. In particular, the proposed approach for selective data combination is compared to methods using a single sensor type or combining both modalities without preselection. We show that the proposed framework allows for camera‐based localization resilient to a large range of low‐visibility conditions.
Cai, B, Huang, S, Liu, D, Yuan, S, Dissanayake, G, Lau, H & Pagac, D 2013, 'Multiobjective Optimization for Autonomous Straddle Carrier Scheduling at Automated Container Terminals', IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, vol. 10, no. 3, pp. 711-725.
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A multiobjective optimization model is presented in this paper for the Autonomous Straddle Carriers Scheduling (ASCS) problem in automated container terminals, which is more practical than the single objective model. The model considers three objectives [ i.e., Straddle Carriers (SCs) traveling time, SC waiting time and finishing time of high-priority container-transferring jobs], and their weighted sum is investigated as the representative example. The presented model is formulated as a pickup and delivery problem with time windows in the form of binary integer programming. An exact algorithm based on Branch-and-Bound with Column Generation (BBCG) is employed for solving the multiobjective ASCS problem. Based on the map of an actual fully automated container terminal, simulation results are compared with the single-objective scheduling to demonstrate the effectiveness and flexibility of the presented multiobjective model, as well as the efficacy of the BBCG algorithm for autonomous SC scheduling. © 2012 IEEE.
Carmichael, MG & Liu, D 2013, 'Estimating Physical Assistance Need Using a Musculoskeletal Model', IEEE Transactions on Biomedical Engineering, vol. 60, no. 7, pp. 1912-1919.
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Technologies that provide physical assistance during tasks are often required to provide assistance specific to the task and person performing it. An example is robotic rehabilitation in which the assistance-as-needed (AAN) paradigm aims to provide operators with the minimum assistance required to perform the task. Current approaches use empirical performance-based methods which require repeated observation of the specific task before an estimate of the needed assistance can be determined. In this paper, we present a new approach utilizing a musculoskeletal model (MM) of the upper limb to estimate the operator's assistance needs with respect to physical tasks. With capabilities of the operator defined at the muscular level of the MM, an optimization model is used to estimate the operator's strength capability. Strength required to perform a task is calculated using a task model. The difference or gap between the operator's strength capability and the strength required to execute a task forms the basis for the new AAN paradigm. We show how this approach estimates the effects of limb pose, load direction, and muscle impairments on a person's ability to perform tasks. © 1964-2012 IEEE.
Khushaba, RN, Kodagoda, S, Lal, S & Dissanayake, G 2013, 'Uncorrelated fuzzy neighborhood preserving analysis based feature projection for driver drowsiness recognition', FUZZY SETS AND SYSTEMS, vol. 221, no. 1, pp. 90-111.
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Driver drowsiness is reported as one of the main causal factors in many traffic accidents as it progressively impairs the driver's awareness about external events. Drowsiness detection can be approached through monitoring physiological signals while driving to correlate drowsiness with the change in the corresponding patterns of the Electroencephalogram (EEG), Electrooculogram (EOG), and Electrocardiogram (ECG) signals. The main challenge in such an approach is to extract a set of features that can highly discriminate between the different drowsiness levels. This paper proposes a new Fuzzy Neighborhood Preserving Analysis (FNPA) feature projection method that is used to extract the discriminant information relevant to the loss of attention caused by drowsiness. Unlike existing methods, FNPA considers the fuzzy memberships of the input measurements into the different classes while constructing the graph Laplacian. Thus, it is able to identify both the discriminant and the geometrical structure of the input data while accounting for the overlapping nature of the drowsiness patterns. Furthermore, in order to address the singularity problem that occurs in many real world problems, the singular value decomposition (SVD), and later the QR-Decomposition, are utilized to extract a set of statistically uncorrelated features presenting the Uncorrelated FNPA (UFNPA). In the current preliminary study with datasets collected from 31 subjects only, while performing a driving simulation task, the proposed method is capable of accurately classifying the drowsiness levels using a small number of features with an average accuracy of 93%93%. On the other hand, the possibility of developing a subject-independent drowsiness recognition system is also investigated when the problem is converted into a binary classification task, as imposed by the number of drowsiness levels exhibited by the drivers, with accuracies ranging from 82%-to-84%.
Khushaba, RN, Kodagoda, S, Liu, D & Dissanayake, G 2013, 'Muscle computer interfaces for driver distraction reduction', COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, vol. 110, no. 2, pp. 137-149.
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Driver distraction is regarded as a significant contributor to motor-vehicle crashes. One of the important factors contributing to driver distraction was reported to be the handling and reaching of in-car electronic equipment and controls that usually requires taking the drivers' hands off the wheel and eyes off the road. To minimize the amount of such distraction, we present a new control scheme that senses and decodes the human muscles signals, denoted as Electromyogram (EMG), associated with different fingers postures/pressures, and map that to different commands to control external equipment, without taking hands off the wheel. To facilitate such a scheme, the most significant step is the extraction of a set of highly discriminative feature set that can well separate between the different EMG-based actions and to do so in a computationally efficient manner. In this paper, an accurate and efficient method based on Fuzzy Neighborhood Discriminant Analysis (FNDA), is proposed for discriminant feature extraction and then extended to the channel selection problem. Unlike existing methods, the objective of the proposed FNDA is to preserve the local geometrical and discriminant structures, while taking into account the contribution of the samples to the different classes. The method also aims to efficiently overcome the singularity problems of classical LDA by employing the QR-decomposition. Practical real-time experiments with eight EMG sensors attached on the human forearm of eight subjects indicated that up to fourteen classes of fingers postures/pressures can be classified with <7% error on average, proving the significance of the proposed method. © 2012 Elsevier Ireland Ltd.
Khushaba, RN, Wise, C, Kodagoda, S, Louviere, J, Kahn, BE & Townsend, C 2013, 'Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking', EXPERT SYSTEMS WITH APPLICATIONS, vol. 40, no. 9, pp. 3803-3812.
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Liu, H, Derawi, D, Kim, J & Zhong, Y 2013, 'Robust optimal attitude control of hexarotor robotic vehicles', Nonlinear Dynamics, vol. 74, no. 4, pp. 1155-1168.
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Mueller, R, Andersen, ES, Kvalnes, O, Shao, J, Sankaran, S, Turner, JR, Biesenthal, C, Walker, D & Gudergan, S 2013, 'The Interrelationship of Governance, Trust, and Ethics in Temporary Organizations', PROJECT MANAGEMENT JOURNAL, vol. 44, no. 4, pp. 26-44.
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This study investigates the variety of ethical decisions of project managers and their impact from corporate governance and project governance structures. The roles of personal trust and system trust as a mechanism to steer ethical decision making in different governance settings is explored. Nine qualitative case studies in Europe, Asia, and Australia show that ethical decision making is contingent on trust, which in turn is contingent on the fulfillment of personal expectations within a given governance structure. The findings show the prerequisites for ethical decision making and the consequences of lack of trust. Further managerial and theoretical implications are discussed.
O�Sheedy, D & Sankaran, S 2013, 'Agile Project Management for IT Projects in SMEs: A Framework and Success Factors', The International Technology Management Review, vol. 3, no. 3, pp. 187-187.
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Project management methods have been developed from industry practices and international standards to ensure a higher rate of success for information technology projects. These have been widely used in large organisationseffectively. However, when projects are implemented in a small or medium-sized enterprise environment, there is often a lack of an established method of project management or skilled project implementers who can use methods used in large organisations. As project workers find themselves pressured to become more responsive to business demands, it is becoming commonplace for smaller organisations to forgo formal project management practices. This is often due to the fact that small projects are viewed as simple to deploy, suffer from a lack of resources, or are given low prioritisation by the organisation. Additionally, the current project management standards are frequently perceived by SMEs as complicated and overly bureaucratic, something undesirable in regards to timeconstrained or low-budget projects. Agile development is one solution to the problem of overly complex methods that has recently been adopted in the field of software production, and has gained considerable popularity with smaller organisations. Through action research conducted in two closely-related SMEs in Austria, a final agileproject management framework was produced in the end of the study. The developed framework consists of fourphases of initiating phase (addressing objectives), planning phase (focusing on project backlog), executing and controlling phase (looking at iterative project cycles), and closing phase (working on project deliverables). Meanwhile some suggestions associated with the success of the developed agile project management framework are presented as well.
Paul, G, Kwok, N & Liu, D 2013, 'A novel surface segmentation approach for robotic manipulator-based maintenance operation planning', AUTOMATION IN CONSTRUCTION, vol. 29, pp. 136-147.
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This paper presents a novel approach to segmenting a three-dimensional surface map by considering the task requirements and the movements of an industrial robot manipulator. Maintenance operations, such as abrasive blasting, that are performed by a field robot manipulator can be made more efficient by exploiting surface segmentation. The approach in this paper utilises an aggregate of multiple connectivity graphs, with graph edges defined by task constraints, and graph vertices that correspond to small, maintenance-specific target surfaces, known as Scale-Like Discs (SLDs). The task constraints for maintenance operations are based on the characteristics of neighbouring SLDs. The combined connectivity graphs are analysed to find clusters of vertices, thus segmenting the surface map into groups of related SLDs. Experiments conducted in three typical bridge maintenance environments have shown that the approach can reduce garnet usage by 10%-40% and reduce the manipulator joint movements by up to 35%. © 2012 Elsevier B.V. All rights reserved.
Pollack, J, Costello, K & Sankaran, S 2013, 'Applying Actor-Network Theory as a sensemaking framework for complex organisational change programs', INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT, vol. 31, no. 8, pp. 1118-1128.
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The implementation of a Project Management Information System (PMIS) in three public sector agencies is examined using Actor-Network Theory, an infrequently applied approach to project management research. Use of the PMIS focused on practitioner capability, without acting as a mechanism of project control. This is different to how a PMIS is generally portrayed in the literature, suggesting a need to rethink the ways a PMIS can support project management. The research revealed that the PMIS software application, by itself, would have had limited impact, and similarly the practitioner-researchers who developed and implemented the PMIS would, by themselves, have been less effective. Instead, the contribution, effectiveness and capability came from the stable network of association between the practitioner researchers and the PMIS; an actor-network, which allowed other networks to stabilise and develop, as new users learned how to conceptualise their work through project management concepts, and developed their project management capability.
Shaw, K, M. Cartwright, C, Sankaran, S, Kelly, J, Dick, B, Davies, A & Craig, J 2013, 'Leadership in faith-based aged and community care', Leadership in Health Services, vol. 26, no. 4, pp. 312-321.
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Purpose – The purpose of this paper is to identify the domains of performance needed by leaders in aged and community care not-for-profit organisations. Design/methodology/approach – Focus groups and individual interviews were conducted with senior managers employed by faith-based aged and community care not-for-profit organisations, academics in ageing and business fields and senior government employees from aged services departments and agencies in Australia. Results were content transcribed and analysed thematically in order to identify the major themes that emerged. Findings – A total of 37 people participated in the study. The domains of performance identified by participants as required of leaders in aged and community care were: professionalism; collaboration and teamwork; judgement and decision making; communication; scholarship and teaching; management; advocacy; and leadership. The performance requirements that were identified for leaders in aged and community care not-for-profit organisations were broader than just leadership per se. Research limitations/implications – The findings of this study suggest that the aged and community care not-for-profit sector has specific requirements for the performance of its leaders. Leadership is one of a number of performance attributes desirable in leaders in this sector.
Shi, L & Kodagoda, S 2013, 'Towards generalization of semi-supervised place classification over generalized Voronoi graph', Robotics and Autonomous Systems, vol. 61, no. 8, pp. 785-796.
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With the progress of humanrobot interaction (HRI), the ability of a robot to perform high-level tasks in complex environments is fast becoming an essential requirement. To this end, it is desirable for a robot to understand the environment at both geometric and semantic levels. Therefore in recent years, research towards place classification has been gaining in popularity. After the era of heuristic and rulebased approaches, supervised learning algorithms have been extensively used for this purpose, showing satisfactory performance levels. However, most of those approaches have only been trained and tested in the same environments and thus impede a generalized solution. In this paper, we have proposed a semisupervised place classification over a generalized Voronoi graph (SPCoGVG) which is a semi-supervised learning framework comprised of three techniques: support vector machine (SVM), conditional random field (CRF) and generalized Voronoi graph (GVG), in order to improve the generalizability. The inherent problem of training CRF with partially labeled data has been solved using a novel parameter estimation algorithm. The effectiveness of the proposed algorithm is validated through extensive analysis of data collected in international university environments.
Skinner, B, Yuan, S, Huang, S, Liu, D, Cai, B, Dissanayake, G, Lau, H, Bott, A & Pagac, D 2013, 'Optimisation for job scheduling at automated container terminals using genetic algorithm', COMPUTERS & INDUSTRIAL ENGINEERING, vol. 64, no. 1, pp. 511-523.
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Abstract This paper presents a genetic algorithm (GA)-based optimisation approach to improve container handling operations at the Patrick AutoStrad container terminal located in Brisbane Australia. In this paper we focus on scheduling for container transfers and encode the problem using a two-part chromosome approach which is then solved using a modified genetic algorithm. In simulation experiments, the performance of the GA-based approach and a sequential job scheduling method are evaluated and compared with different scheduling scenarios. The experimental results show that the GA-based approach can find better solutions which improve the overall performance. The GA-based approach has been implemented in the terminal scheduling system and the live testing results show that the GA-based approach can reduce the overall time-related cost of container transfers at the automated container terminal. Crown Copyright © 2012 Published by Elsevier Ltd. All rights reserved.
Soohwan Kim & Jonghyuk Kim 2013, 'Occupancy Mapping and Surface Reconstruction Using Local Gaussian Processes With Kinect Sensors', IEEE Transactions on Cybernetics, vol. 43, no. 5, pp. 1335-1346.
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Wang, H, Huang, S, Frese, U & Dissanayake, G 2013, 'The nonlinearity structure of point feature SLAM problems with spherical covariance matrices', AUTOMATICA, vol. 49, no. 10, pp. 3112-3119.
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This paper proves that the optimization problem of one-step point feature Simultaneous Localization and Mapping (SLAM) is equivalent to a nonlinear optimization problem of a single variable when the associated uncertainties can be described using spherical covariance matrices. Furthermore, it is proven that this optimization problem has at most two minima. The necessary and sufficient conditions for the existence of one or two minima are derived in a form that can be easily evaluated using observation and odometry data. It is demonstrated that more than one minimum exists only when the observation and odometry data are extremely inconsistent with each other. A numerical algorithm based on bisection is proposed for solving the one-dimensional nonlinear optimization problem. It is shown that the approach extends to joining of two maps, thus can be used to obtain an approximate solution to the complete SLAM problem through map joining. © 2013 Elsevier Ltd. All rights reserved.
Wu, H, Liu, H & Liu, D 2013, 'Two-Dimensional Direction Recognition Using Uniaxial Tactile Arrays', IEEE Sensors Journal, vol. 13, no. 12, pp. 4897-4903.
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To allow intuitive communication in human-robot cooperation through tactile information, this paper presents a method to recognize human intended direction in 2-D using a handlebar equipped with uniaxial tactile arrays. The method first extracts various features from the tactile images aiming to reduce computation complexity and increase recognition robustness. A support vector machines classifier was implemented for classifying the intended direction of humans using the extracted features. The algorithm efficiency of using different combinations of features has been investigated and compared through human user studies. In total, five human users in the project team were involved in this research. Experimental results show that the proposed method can achieve 91.7% recognition accuracy if both the training data and validation data contain tactile images from all the users. The method could still achieve 77.5% recognition accuracy when the training and validation data share no common user. © 2013 IEEE.
Xu, Z, Fitch, R, Underwood, J & Sukkarieh, S 2013, 'Decentralized Coordinated Tracking with Mixed Discrete-Continuous Decisions', JOURNAL OF FIELD ROBOTICS, vol. 30, no. 5, pp. 717-740.
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The article examines the problem of dynamically positioning a team of mobile robots for target tracking. The optimization is inherently a function of both the positioning of robots in continuous space and the assignment of robots to targets in discrete space. In information-gathering tasks, a coordinated team of robots has clear advantages over any single robot. A single robot is forced to spread its attention among the targets being tracked, whereas a team of robots can divide-and conquer. Another advantage of teams is that they provide redundancy in case of individual robot failures, but only if the team is decentralized. One motivating example is the coordination of unmanned ground vehicles (UGV) to track pedestrians moving in a semiurban environment. Additionally, these approaches to solving the MINLP are centralized, while one wishes to have a decentralized solution. Thus, the challenge is to find a computationally efficient approximation to the MINLP that operates in a decentralized manner.
Yang, C, Zhang, Q & Huang, S 2013, 'Input‐to‐state stability of a class of Lur'e descriptor systems', International Journal of Robust and Nonlinear Control, vol. 23, no. 12, pp. 1324-1337.
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SUMMARYThis paper considers a class of Lur'e descriptor systems (LDS) subject to exogenous disturbances. The concept of input‐to‐state stability (ISS) is generalized to descriptor systems. Such a notion characterizes the robust stability of the full state of the systems. Based on the conventional ISS theory, a sufficient condition expressed by linear matrix inequalities (LMIs) for the LDS to be ISS is derived. It is further shown that this condition also guarantees a special class of LDS to be of index one. Then, a state feedback controller is designed to make the closed‐loop system ISS. Finally, an example is given to illustrate the obtained results. Copyright © 2012 John Wiley & Sons, Ltd.
Yuan, S, Skinner, B, Huang, S & Liu, D 2013, 'A new crossover approach for solving the multiple travelling salesmen problem using genetic algorithms', European Journal of Operational Research, vol. 228, no. 1, pp. 72-82.
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This paper proposes a new crossover operator called two-part chromosome crossover (TCX) for solving the multiple travelling salesmen problem (MTSP) using a genetic algorithm (GA) for near-optimal solutions. We adopt the two-part chromosome representation technique which has been proven to minimise the size of the problem search space. Nevertheless, the existing crossover method for the two-part chromosome representation has two limitations. Firstly, it has extremely limited diversity in the second part of the chromosome, which greatly restricts the search ability of the GA. Secondly, the existing crossover approach tends to break useful building blocks in the first part of the chromosome, which reduces the GA's effectiveness and solution quality. Therefore, in order to improve the GA search performance with the two-part chromosome representation, we propose TCX to overcome these two limitations and improve solution quality. Moreover, we evaluate and compare the proposed TCX with three different crossover methods for two MTSP objective functions, namely, minimising total travel distance and minimising longest tour. The experimental results show that TCX can improve the solution quality of the GA compared to three existing crossover approaches. © 2013 Elsevier B.V. All rights reserved.
Abeywardena, D, Wang, Z, Kodagoda, S, Dissanayake, G & IEEE 1970, 'Visual-Inertial Fusion for Quadrotor Micro Air Vehicles with Improved Scale Observability', 2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE International Conference on Robotics and Automation, IEEE, Karlsruhe-Germany, pp. 3148-3153.
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This paper presents a novel algorithm for fusing monocular vision and inertial information for quadrotor Micro Air Vehicles by incorporating the unique dynamic characteristics of that platform into the state estimation process. The dynamics of a quadrotor is unique in that a dual axis accelerometer mounted parallel to the propeller plane provides measurements that are directly proportional to vehicle velocities in that plane. By exploiting these dynamic characteristics, we show that all vehicle states, including the absolute scale, become observable in all motion patterns. This distinguishes our method with other visual-inertial fusion methods, which either assume zero accelerometer bias, or require sufficiently exciting motion, such as non-zero acceleration, to ensure observability of the scale. The advantages of our method over existing visual-inertial fusion algorithms are proved through a theoretical analysis using Lie Derivatives and verified by extensive simulations and experiments.
Alempijevic, A, Fitch, R, Kirchner, N & IEEE 1970, 'Bootstrapping Navigation and Path Planning Using Human Positional Traces', 2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE International Conference on Robotics and Automation, IEEE, Karlsruhe, Germany, pp. 1242-1247.
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Navigating and path planning in environments with limited a priori knowledge is a fundamental challenge for mobile robots. Robots operating in human-occupied environments must also respect sociocontextual boundaries such as personal workspaces. There is a need for robots to be able to navigate in such environments without having to explore and build an intricate representation of the world. In this paper, a method for supplementing directly observed environmental information with indirect observations of occupied space is presented. The proposed approach enables the online inclusion of novel human positional traces and environment information into a probabilistic framework for path planning. Encapsulation of sociocontextual information, such as identifying areas that people tend to use to move through the environment, is inherently achieved without supervised learning or labelling. Our method bootstraps navigation with indirectly observed sensor data, and leverages the flexibility of the Gaussian process (GP) for producing a navigational map that sampling based path planers such as Probabilistic Roadmaps (PRM) can effectively utilise. Empirical results on a mobile platform demonstrate that a robot can efficiently and socially-appropriately reach a desired goal by exploiting the navigational map in our Bayesian statistical framework. © 2013 IEEE.
Amirsadri, A, Bishop, AN, Kim, J, Trumpf, J & Petersson, L 1970, 'Consistency analysis for data fusion: Determining when the unknown correlation can be ignored', 2013 International Conference on Control, Automation and Information Sciences (ICCAIS), 2013 International Conference on Control, Automation and Information Sciences (ICCAIS), IEEE, IEEE, pp. 97-102.
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In this paper we examine the conditions in which data fusion can be performed by neglecting the unmodeled correlation between two information sources without compromising the consistency of the system. More specifically, we explore those situations in which one can disregard the correlation information and achieve a consistent estimate by simply adding the respective estimates' information matrices. This estimate will deliver considerably better performance than the widely employed Covariance Intersection (CI) algorithm in terms of estimation uncertainty. © 2013 IEEE.
Best, G, Moghadam, P, Kottege, N & Kleeman, L 1970, 'Terrain classification using a hexapod robot', Australasian Conference on Robotics and Automation, ACRA.
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The effectiveness of a legged robot's gait is highly dependent on the ground cover of the terrain the robot is traversing. It is therefore advantageous for a legged robot to adapt its behaviour to suit the environment. In order to achieve this, the robot must be able to detect and classify the type of ground cover it is traversing. We present a novel approach for ground cover classification that utilises position measurements of the leg servos to estimate the errors between commanded and actual positions of each joint. This approach gives direct insight into how the robot is interacting with the terrain. These position sensors are usually built into the actuators and therefore our approach has the advantage of not requiring any additional sensors. We employ a multi-class Support Vector Machine with a 660-dimensional feature space consisting of features in gait-phase and frequency domains. We implemented our algorithm in the Robot Operating System (ROS) framework for real time classification and also developed a MATLAB implementation for extensive offline testing. Both implementations perform multi-class ground cover classification with high accuracy across five classes.
Carmichael, MG & Dikai Liu 1970, 'Admittance control scheme for implementing model-based assistance-as-needed on a robot', 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Osaka, Japan, pp. 870-873.
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A model-based assistance-as-needed paradigm has been developed to govern the assistance provided by an assistive robot to its operator. This paradigm has advantages over existing methods of providing assistance-as-needed for applications such as robotic rehabilitation. However, implementation of the model-based paradigm requires a control scheme to be developed which controls the robot so as to provide the assistance calculated by the model-based paradigm to its operator. In this paper an admittance control scheme for providing model-based assistance-as-needed is presented. It is developed considering its suitability for human-robot interaction, and its role within the model-based assistance-as-needed framework. Results from the control implemented on an example robot showed it is capable of providing the operator with the desired level of assistance as governed by the model-based paradigm. This is an essential requirement for the paradigm to be capable of providing efficacious assistance-as-needed in applications such as robotic rehabilitation. © 2013 IEEE.
Carmichael, MG & Dikai Liu 1970, 'Experimental evaluation of a model-based assistance-as-needed paradigm using an assistive robot', 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Osaka, Japan, pp. 866-869.
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In robotic rehabilitation a promising paradigm is assistance-as-needed. This is because it promotes patient active participation which is essential for neuro-rehabilitation. A model-based assistance-as-needed paradigm has been developed which utilizes a musculoskeletal model representing the subject to calculate their assistance needs. In this paper we experimentally evaluate this model-based paradigm to control an assistive robot and provide a subject with assistance-as-needed at the muscular level. A subject with impairments defined in specific muscle groups performs a number of upper limb tasks, whilst receiving assistance from a robotic exoskeleton. The paradigm is evaluated on its ability to provide assistance only as the subject needs, depending on the tasks being performed and the impairments defined. Results show that the model-based assistance-as-needed paradigm was relatively successful in providing assistance when it was needed. © 2013 IEEE.
Dantanarayana, L, Ranasinghe, R & Dissanayake, G 1970, 'C-LOG: A Chamfer Distance Based Method for Localisation in Occupancy Grid-maps', 2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, Tokyo, Japan, pp. 376-381.
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In this paper, the problem of localising a robot within a known two-dimensional environment is formulated as one of minimising the Chamfer Distance between the corresponding occupancy grid map and information gathered from a sensor such as a laser range finder. It is shown that this nonlinear optimisation problem can be solved efficiently and that the resulting localisation algorithm has a number of attractive characteristics when compared with the conventional particle filter based solution for robot localisation in occupancy grids. The proposed algorithm is able to perform well even when robot odometry is unavailable, insensitive to noise models and does not critically depend on any tuning parameters. Experimental results based on a number of public domain datasets as well as data collected by the authors are used to demonstrate the effectiveness of the proposed algorithm.
Derawi, D & Kim, J 1970, 'Real-time nonlinear complementary observer for low-cost inertial attitude system', International Global Navigation Satellite Systems Society IGNSS Symposium, Gold Coast, Menay P/L.
Fang, G, Kwok, NM & Dissanayake, G 1970, 'Skin Colour Detection Using the Statistical Decision Theory', MANUFACTURING PROCESS AND EQUIPMENT, PTS 1-4, International Conference on Manufacturing Science and Engineering, Scientific.net, Dalian, China, pp. 1891-1895.
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Skin colour is an important attribute that can be used to detect human presence in an image. In this paper, a new method is introduced to detect skin pixels in an image based on statistical decision theory. The proposed method uses a parametric model to
Forsythe, PJ & Sankaran, S 1970, 'Information Asymmetry and the Promise of Building Information Modelling', Proceedings of the PMI India Research and Academic Conference 2013, PMI India Academic and Research Conference, PMI India, Chennai, India, pp. 1-8.
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Building Information Modelling is gaining momentum around the world as a technology capable of enabling higher levels of integration in the delivery of building projects. The concept involves an intelligent 3-D model of the building. In its application, different design disciplines are now well equipped to collaboratively produce a harmonious and well resolved master design. Additional features such as cost, production work flow and facilities management information - linked to the 3-D model - allow the likes of construction contractors and property managers to communicate using the same visually driven language. Now more than previously, there is the prospect of a visually linked kit of information, and subsequently a common means of communicating, analysing and cross-referencing complex information. In the past, the lack of ability to do this has effectively created a degree of information asymmetry within various parts of the supply chain and between contracting parties. This is especially the case where technical information is concerned and it can be argued that the client in particular has been disadvantaged (where lacking technical experience) because they are less able to offer informed input. Their problem is simply that this lack of ability to provide informed input, can effectively limit the ability of the client to be involved in making informed decisions about their project. Hence they lose a degree of control concerning cost and value-based decisions. This paper quite simply explores whether the promise of building information modelling will open up the prospect of greater and more equal access to information that will benefit clients - especially in terms of the concept of information asymmetry. It also considers the practicalities of implementing the building information technology itself. For instance, the practicalities of implementing any new information technology solution can pose its own impediments and asymmetries in deli...
Ghaffari Jadidi, M, Valls Miro, J, Valencia, R, Andrade-Cetto, J & Dissanayake, G 1970, 'Exploration in Information Distribution Maps', Robotics Science and Systems - Workshop on Robotic Exploration, Monitoring and Information Collection, Workshop of Robotics: Systems and Science, Technische Universitat Berlin, Berlin, Germany, pp. 1-8.
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In this paper, a novel solution for autonomous robotic exploration is proposed. The distribution of information in an unknown environment is modeled as an unsteady diffusion process, which can be an appropriate mathematical formulation and analogy for expanding, time-varying, and dynamic environments. This information distribution map is the solution of the diffusion process partial differential equation, and is regressed from sensor data as a Gaussian Process. Optimization of the process parameters leads to an optimal frontier map which describes regions of interest for further exploration. Since the presented approach considers a continuous model of the environment, it can be used to plan smooth exploration paths exploiting the structural dependencies of the environment whilst handling sparse sensors measurements. The performance of the proposed approach is evaluated through simulation results in the well-known Freiburg and Cave maps.
Hu, G, Khosoussi, K & Shoudong Huang 1970, 'Towards a reliable SLAM back-end', 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013), IEEE, Tokyo, Japan, pp. 37-43.
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In the state-of-the-art approaches to SLAM, the problem is often formulated as a non-linear least squares. SLAM back-ends often employ iterative methods such as Gauss-Newton or Levenberg-Marquardt to solve that problem. In general, there is no guarantee on the global convergence of these methods. The back-end might get trapped into a local minimum or even diverge depending on how good the initial estimate is. Due to the large noise in odometry data, it is not wise to rely on dead reckoning for obtaining an initial guess, especially in long trajectories. In this paper we demonstrate how M-estimation can be used as a bootstrapping technique to obtain a reliable initial guess. We show that this initial guess is more likely to be in the basin of attraction of the global minimum than existing bootstrapping methods. As the main contribution of this paper, we present new insights about the similarities between robustness against outliers and robustness against a bad initial guess. Through simulations and experiments on real data, we substantiate the reliability of our proposed method. © 2013 IEEE.
Jadidi, MG, Miró, JV, Valencia, R, Andrade-Cetto, J & Dissanayake, G 1970, 'Exploration using an information-based reaction-diffusion process', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, Australian Robtocis and Automation Association, Sydney, Australia, pp. 1-10.
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In this paper, a novel solution for autonomous robotic exploration is proposed. We model the distribution of information in an unknown environment as an unsteady diffiusion process, which can be an appropriate mathematical for- mulation and analogy for expanding, time- varying, and dynamic environments. This in- formation distribution map is the solution of the diffusion process partial diffierential equa- tion, and is regressed from sensor data as a Gaussian Process. Optimization of the pro- cess parameters leads to an optimal frontier map which describes regions of interest for fur- ther exploration. Since the presented approach considers a continuous model of the environ- ment, it can be used to plan smooth exploration paths exploiting the structural dependencies of the environment whilst handling sparse sensor measurements. The performance of the ap- proach is evaluated through simulation results in the well-known Freiburg and Cave maps.
Khushaba, RN, Wise, C, Kodagoda, S & Louviere, JJ 1970, 'Integrating Eye-Tracking and Wireless Electroencephalogram (EEG) in Consumer Neuroscience', The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC13), International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Osaka, Japan, pp. 6925-6928.
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Consumer neuroscience addresses marketing relevant problems through the integration and application of neuroscientific theories, concepts, findings and methods to the research discipline of consumer behavior. The key contribution of this paper is to complement the advancement of traditional consumer research through the investigation of the patterns of interdependency between the Electroencephalogram (EEG) signals from the different brain regions while participants undertook a choice task designed to elicit preferences for a marketing product (crackers). Specifically, the task required participants to choose their preferred crackers described by shape (square, triangle, round), flavor (wheat, dark rye, plain) and topping (salt, poppy, no topping).We analyze the Electroencephalogram (EEG) signals collected from the different brain regions using the commercially available 14 channel Emotiv EPOC wireless EEG headset and relate the EEG data to the specific choice options with a Tobii X60 eye tracker. Fifteen participants were recruited for this experiment and were shown 57 choice sets; each choice set described three choice options. The patterns of cortical activity were obtained in the five principal frequency bands, Delta (0 - 4 Hz), Theta (3 - 7 Hz), Alpha (8 - 12 Hz), Beta (13 - 30 Hz), and Gamma (30 - 40 Hz). Our results indicate significant phase synchronization between the left and right frontal and occipital regions indicating interhemispheric communications during the choice task. Our experimental results also show that participants spent more time looking at the non-preferred items in each choice set at the beginning of the experiment (exploration mode), while reducing that time progressively to indicate significant amount of cognitive processing assigned to preferred items (exploitation mode).
Kim, J-H, Dai, Y, Li, H, Du, X & Kim, J 1970, 'Multi-view 3D Reconstruction from Uncalibrated Radially-Symmetric Cameras', 2013 IEEE International Conference on Computer Vision, 2013 IEEE International Conference on Computer Vision (ICCV), IEEE, pp. 1896-1903.
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Kim, S & Kim, J 1970, 'GPmap: A Unified Framework for 3D Mapping Based on Sparse Gaussian Processes', The 9th Conference on Field and Service Robotics, Brisbane.
Kodagoda, S, Alempijevic, A, Huang, S, de la Villefromoy, M, Diponio, M & Cogar, L 1970, 'Moving away from simulations: Innovative assessment of Mechatronic subjects using remote laboratories', 2013 12th International Conference on Information Technology Based Higher Education and Training (ITHET), 2013 12th International Conference on Information Technology Based Higher Education and Training (ITHET), IEEE, Antalya, Turkey, pp. 1-5.
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In response to the rapid growth of online teaching and learning, University of Technology, Sydney (UTS) has been developing a number of remotely accessible laboratories. In this paper, we present our newly developed remote lab robotic rig that uniquely addresses challenges in Mechatronic courses. The rig contains a mobile robotic platform equipped with various sensory modules placed in a maze with a pantograph power system enabling continuous use of the platform. The software architecture employed allows users to develop their simulations using the Player/Stage simulator and subsequently upload the code in the robotic rig for real-time testing. This paper presents the motivation, design concepts and analysis of students' feedback responses to their use of the remote lab robotics rig. Survey results of a pilot study shows the participants highly agreeing that the remote lab contributes to, 'deeper understanding of the subject matter', 'flexible learning process' and 'inspire research in robotics'. © 2013 IEEE.
Kodagoda, S, Alempijevic, A, Huang, S, De La Villefromoy, MJ, Diponio, M & Cogar, LJ 1970, 'Innovative Assessment of Mechatronic Subjects Using Remote Laboratories', International Conference on Information Technology Based Higher Education and Training, IEEE, Antalya, Turkey, pp. 1-5.
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In response to the rapid growth of online teaching and learning, University of Technology, Sydney (UTS) has been developing a number of remotely accessible laboratories. In this paper, we present our newly developed remote lab robotic rig that uniquely addresses challenges in Mechatronic courses. The rig contains a mobile robotic platform equipped with various sensory modules placed in a maze with a pantograph power system enabling continuous use of the platform. The software architecture employed allows users to develop their simulations using the Player/Stage simulator and subsequently upload the code in the robotic rig for real-time testing. This paper presents the motivation, design concepts and analysis of students' feedback responses to their use of the remote lab robotics rig. Survey results of a pilot study shows the participants highly agreeing that the remote lab contributes to, deeper understanding of the subject matter, flexible learning process and inspire research in robotics.
Kuo, V, Fitch, R & IEEE 1970, 'Zero Mutual Interference Network for Intelligent Vehicle Communication', 2013 IEEE INTELLIGENT VEHICLES SYMPOSIUM WORKSHOPS (IV WORKSHOPS), Intelligent Vehicles Symposium Workshops, IEEE, Gold Coast, QLD, Australia, pp. 121-126.
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We propose to enable high-throughput, scalable communication for cooperative autonomous vehicles through zero mutual interference (ZMI) networks. Cooperation in complex environments relies on wireless communication, but conventional wireless networks are not designed for cooperative autonomous vehicles and are fundamentally limited by mutual interference. Our approach is to avoid mutual interference by design; ZMI networks provide wired network properties using wireless radio links. In this paper, we present the initial instantiation of a ZMI network based on a multi-radio, multi-channel architecture. The network is constructed such that each vehicle communicates with topological neighbours using a dedicated radio and channel. We also present experimental results that compare the performance of a ZMI network to a conventional inter-vehicle communication network in a cooperative perception and control task. © 2013 IEEE.
Lei Shi, Kodagoda, S & Piccardi, M 1970, 'Towards simultaneous place classification and object detection based on conditional random field with multiple cues', 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013), IEEE, Tokyo, Japan, pp. 2806-2811.
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Liu, H, Derawi, D, Kim, J & Zhong, Y 1970, 'Robust optimal attitude control of multirotors', Australasian Conference on Robotics and Automation, ACRA, Australian Robotics and Automation Association.
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In this paper, a robust and optimal control method is proposed for the attitude control problem of multirotors. The designed controller consists of an optimal controller and a robust compensator. The optimal controller is designed based on the linear quadratic regulation control method for the desired tracking of the nominal linear system, whereas the robust compensator is introduced to restrain the influence of multiple uncertainties. Tracking errors are proven to be bounded with specified boundaries ultimately. Simulation and experimental results on the hexarotor demonstrate the effectiveness of the proposed robust optimal control approach.
Miro, JV, Black, R, Andonovski, B & Dissanayake, G 1970, 'Development of a novel evidence-based automated powered mobility device competency assessment', 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR 2013), IEEE, Seattle, WA, USA, pp. 1-8.
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This paper describes the outcomes of a clinical study to assess the validity of a stand-alone sensor package and algorithms to aid the assessment by an occupational therapist (OT) whether a person has the capacity to safely and effectively operate a powered mobility device such as a wheelchair in their daily activities. The proposed solution consists of a suite of sensors capable of inferring navigational characteristics from the platform it is attached to (e.g. trajectories, map of surroundings, speeds, distance to doors, etc). Such information presents occupational therapists with the ability to augment their own observations and assessments with correlated, quantitative, evidence-based data acquired with the sensor array. Furthermore, OT reviews can take place at the therapist's discretion as the data from the trials is logged. Results from a clinical evaluation of the proposed approach, taking as reference the commonly-used Power-Mobility Indoor Driving Assessment (PIDA) assessment, were conducted at the premises of the Prince of Wales (PoW) Hospital in Sydney by four users, showing consistency with the OT scores, and setting the scene to a larger study with wider targeted participation. © 2013 IEEE.
Nguyen, J, Lawrance, N, Fitch, R, Sukkarieh, S & IEEE 1970, 'Energy-Constrained Motion Planning for Information Gathering with Autonomous Aerial Soaring', 2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE International Conference on Robotics and Automation, IEEE, Karlsruhe, Germany, pp. 3825-3831.
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Autonomous aerial soaring presents a unique opportunity to extend the flight duration of Unmanned Aerial Vehicles (UAVs). In this paper, we examine the problem of a gliding UAV searching for a ground target while simultaneously collecting energy from known thermal energy sources. The problem is posed as a tree search problem by noting that a long-duration mission can be divided into similar segments of flying between and climbing in thermals. The algorithm attempts to maximise the probability of detecting a target by exploring a tree of the possible thermal-to-thermal transitions to a fixed search depth and executing the highest utility plan. The sensitivity of the algorithm to different search depths is explored, and the method is compared against a locally-optimal myopic search algorithm. In larger, more complicated problems, the suggested method outperforms myopic search by sacrificing short-term utility to reach more valuable exploration areas later in the mission. © 2013 IEEE.
Norouzi, M, Miro, JV, Dissanayake, G & IEEE 1970, 'A Statistical Approach for Uncertain Stability Analysis of Mobile Robots', 2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE International Conference on Robotics and Automation, IEEE, Germany, pp. 191-196.
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Stability prediction is an important concern for mobile robots operating in rough environments. Having the capacity to predict areas of instability means pro-actively being able to plan safer traversable paths. The most influential tip-over stability measures are based on two criteria, the robot's center of mass (CM) and the supporting polygon (SP) defined by the convex area spanned between the ground contact-points. However, there is significant uncertainty associated with many parameters in the planning pipe-line: the actual robot kino-dynamic model, its localisation in the ground, and the terrain models, particularly in uneven terrain. This article proposes a statistical analysis of stability prediction to account for some of the uncertainties. This is accomplished using the force angle (FA) stability measure for a reconfigurable multi-tracked vehicle fitted with flippers, a manipulator arm and a sensor head. Probability density function (PDF) of contact-points, CM and the FA stability measure are numerically estimated, with simulation results performed on the open dynamics engine (ODE) simulator based on uncertain parameters. Two techniques are presented: a conventional Monte Carlo scheme, and a structured unscented transform (UT) which results in significant improvement in computational efficiency. Experimental results on maps obtained from a range camera fitted on the sensor head while the robot traverses over a ramp and a series of steps are presented that confirms the validity of the proposed probabilistic stability prediction method. © 2013 IEEE.
Norouzi, M, Valls Miro, J & Dissanayake, G 1970, 'Planning stable and efficient paths for articulated mobile robots on challenging terrains', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, Australasian Robotics and Automation Association, Sydney, Australia, pp. 1-10.
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An analytical strategy to generate stable paths for a reconfigurable vehicle while also meeting additional navigational objectives is herein proposed. The work is motivated by robots traversing over challenging terrains during search and rescue operations, such as those equipped with manipulator arms and/or flippers. The proposed solution looks at minimizing the length of the traversed path and the energy expenditure in changing postures, yet also accounts for additional constraints in terms of sensor visibility (i.e arm configurations close to those orthogonal to the horizontal global plane which can afford a wider sensor view) and traction (i.e. flipper angles that provide the largest trackterrain interaction area). The validity of the proposed planning approach is evaluated with a multitracked robot fitted with flippers and a range camera at the end of a manipulator arm while navigating over two challenging 3D terrain data sets: one in a mock-up urban search and rescue arena (USAR), and a second one from a publicly available quasi-outdoor rover testing facility (UTIAS).
Patel, M, Ek, CH, Kyriazis, N, Argyros, A, Miro, JV & Kragic, D 1970, 'Language for learning complex human-object interactions', 2013 IEEE International Conference on Robotics and Automation, 2013 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Karlsruhe, Germany, pp. 4997-5002.
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In this paper we use a Hierarchical Hidden Markov Model (HHMM) to represent and learn complex activities/task performed by humans/robots in everyday life. Action primitives are used as a grammar to represent complex human behaviour and learn the interactions and behaviour of human/robots with different objects. The main contribution is the use of a probabilistic model capable of representing behaviours at multiple levels of abstraction to support the proposed hypothesis. The hierarchical nature of the model allows decomposition of the complex task into simple action primitives. The framework is evaluated with data collected for tasks of everyday importance performed by a human user. © 2013 IEEE.
Patten, T, Fitch, R & Sukkarieh, S 1970, 'Large-scale near-optimal decentralised information gathering with multiple mobile robots', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, ARAA, Sydney, New South Wales.
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Information gathering at large spatial scales can be addressed with teams of decentralised robots. Many existing methods search over a limited time horizon and do not provide strong performance guarantees. Near-optimal methods that exploit submodular objective functions have been proposed, given a fixed time budget. We propose a revised problem formulation that seeks to near-optimally maximise information gain quickly. We present a novel, near-optimal polynomial-time decentralised algorithm for multiple robots and analyse the expected path length with respect to the number of robots, the size of the area, and the number of observations. Our approach is based on area partitioning and is practically beneficial in that it allows for superlinear speedup in the time required to maximise the submodular objective function, is decentralised, and is easy to implement. We show extensive simulation results that compare the performance of our algorithm to existing sequential allocation methods.
Piyathilaka, L & Kodagoda, S 1970, 'Gaussian mixture based HMM for human daily activity recognition using 3D skeleton features', 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA 2013), IEEE, Melbourne, VIC, Australia, pp. 567-572.
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Ability to recognize human activities will enhance the capabilities of a robot that interacts with humans. However automatic detection of human activities could be challenging due to the individual nature of the activities. In this paper, we present human activity detection model that uses only 3-D skeleton features generated from an RGB-D sensor (Microsoft Kinect). To infer the human activities, we implemented Gaussian Mixture Modal (GMM) based Hidden Markov model(HMM). GM outputs of the HMM were effectively able to capture multimodel nature of 3D positions of each skeleton joint. We tested our model in a publicly available data-set that consists of twelve different daily activities performed by four different people.The proposed model recorded recognition recall accuracy of 84% with previously seen people and 78% with previously unseen people.
Qayyum, U & Kim, J 1970, 'Inertial-kinect fusion for outdoor 3D Navigation', Australasian Conference on Robotics and Automation, ACRA, Australian Robotics and Automation Association.
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The lightweight and low-cost 3D sensing device, such as Microsoft Kinect, has gained much at- tention in computer vision and robotics com- munity. Although quite promising and success- ful for indoor applications, its outdoor usage has been significantly hampered by its short de- tection range (around 4 meters) coupled with ambient infrared interference. This paper ad- dresses the theoretical and practical develop- ment of an Inertial-Kinect fused SLAM frame- work that can handle the 3D to 2D degenera- tion in Kinect sensing, called a depth dropout problem. The vision node is designed to pro- vide either full 6DOF or partial 5DOF vehi- cle pose measurements depending on the depth availability, whilst the low-cost inertial system designed in house (less than $40AUD) enables continuous metric mapping and navigation. In- door and outdoor experiment results are pro- vided, demonstrating the robustness of the pro- posed approach in a challenging environmental conditions.
Quin, P, Paul, G, Alempijevic, A, Liu, D, Dissanayake, G & IEEE 1970, 'Efficient Neighbourhood-Based Information Gain Approach for Exploration of Complex 3D Environments', 2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE International Conference on Robotics and Automation, IEEE, Karlsruhe, Germany, pp. 1343-1348.
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This paper presents an approach for exploring a complex 3D environment with a sensor mounted on the end effector of a robot manipulator. In contrast to many current approaches which plan as far ahead as possible using as much environment information as is available, our approach considers only a small set of poses (vector of joint angles) neighbouring the robot's current pose in configuration space. Our approach is compared to an existing exploration strategy for a similar robot. Our results demonstrate a significant decrease in the number of information gain estimation calculations that need to be performed, while still gathering an equivalent or increased amount of information about the environment. © 2013 IEEE.
Quin, P, Paul, G, Liu, D & Alempijevic, A 1970, 'Nearest neighbour exploration with backtracking for robotic exploration of complex 3D environments', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, Australian Robotics & Automation Association, Sydney, Australia, pp. 1-8.
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This paper presents an extension to an ex- ploration strategy called Nearest Neighbour (NN) Exploration to reduce required explo- ration time. The new approach, called Nearest Neighbours with Backtracking (NNB) involves keeping track of all neighbours at each time step throughout exploration in a tree structure. This strategy is shown through simulations to improve exploration time.
Rushton-Smith, D, To, AW, Paul, G & Liu, D 1970, 'An Accurate and Reliable Approach to Calibration of a Robot Manipulator-Mounted IR Range Camera for Field Applications', International Symposium on Robotics and Mechatronics, International Symposium on Robotics and Mechatronics, Research Publishing, Singapore, pp. 335-344.
Sehestedt, S, Paul, G, Rushton-Smith, D & Liu, D 1970, 'Prior-knowledge assisted fast 3D map building of structured environments for steel bridge maintenance', 2013 IEEE International Conference on Automation Science and Engineering (CASE), 2013 IEEE International Conference on Automation Science and Engineering (CASE 2013), IEEE, Madison, WI, USA, pp. 1040-1046.
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Practical application of a robot in a structured, yet unknown environment, such as in bridge maintenance, requires the robot to quickly generate an accurate map of the surfaces in the environment. A consistent and complete map is fundamental to achieving reliable and robust operation. In a real-world and field application, sensor noise and insufficient exploration oftentimes result in an incomplete map. This paper presents a robust environment mapping approach using prior knowledge in combination with a single depth camera mounted on the end-effector of a robotic manipulator. The approach has been successfully implemented in an industrial setting for the purpose of steel bridge maintenance. A prototype robot, which includes the presented map building approach in its software package, has recently been delivered to industry. © 2013 IEEE.
Van Nguyen, L, Kodagoda, S, Ranasinghe, R & Dissanayake, G 1970, 'Locational optimization based sensor placement for monitoring Gaussian processes modeled spatial phenomena', 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA 2013), IEEE, Melbourne, Australia, pp. 1706-1711.
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This paper addresses the sensor placement problem associated with monitoring spatial phenomena, where mobile sensors are located on the optimal sampling paths yielding a lower prediction error. It is proposed that the spatial phenomenon to be monitored is modeled using a Gaussian Process and a variance based density function is employed to develop an expected-value function. A locational optimization based effective algorithm is employed to solve the resulting minimization of the expectedvalue function. We designed a mutual information based strategy to select the most informative subset of measurements effectively with low computational time. Our experimental results on realworld datasets have verified the superiority of the proposed approach.
Wang, H, Hu, G, Huang, S & Dissanayake, G 1970, 'On the Structure of Nonlinearities in Pose Graph SLAM', Robotics: Science and Systems, The MIT Press, pp. 425-432.
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Pose graphs have become an attractive representation for solving Simultaneous Localization and Mapping (SLAM) problems. In this paper, we analyze the structure of the nonlinearities in the 2D SLAM problem formulated as the optimizing of a pose graph. First, we prove that finding the optimal configuration of a very basic pose graph with 3 nodes (poses) and 3 edges (relative pose constraints) with spherical covariance matrices, which can be formulated as a six dimensional least squares optimization problem, is equivalent to solving a one dimensional optimization problem. Then we show that the same result can be extended to the optimizing of a pose graph with 'two anchor nodes' where every edge is connecting to one of the two anchor nodes. Furthermore, we prove that the global minimum of the resulting one dimensional optimization problem must belong to a certain interval and there are at most 3 minima in that interval. Thus the globally optimal pose configuration of the pose graph can be obtained very easily through the bisection method and closed-form formulas.
Wang, Y & Huang, S 1970, 'An efficient motion segmentation algorithm for multibody RGB-D slam', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, Australian Robotics and Automation Association, University of New South Wales, Sydney Australia, pp. 1-10.
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A simple motion segmentation algorithm using only two frames of RGB-D data is proposed, and both simulational and experimental segmentation results show its efficiency and reliability. To further verify its usability in multibody SLAM scenarios, we firstly apply it to a simualted typical multibody SLAM problem with only a RGB-D camera, and then utilize it to segment a real RGB-D dataset collected by ourselves. Based on the good results of our motion segmentation algorithm, we can get satisfactory SLAM results for the simualted problem and the segmenation results using real data also enable us to get visual odometry for each motion group thus facilitate the following steps to solve the practical multibody RGB-D SLAM problems.
Wang, Y, Xiong, R, Li, Q & Huang, S 1970, 'Kullback-leibler divergence based graph pruning in robotic feature mapping', 2013 European Conference on Mobile Robots, 2013 European Conference on Mobile Robots (ECMR), IEEE, Barcelona, Spain, pp. 32-37.
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In pose feature graph simultaneous localization and mapping, the robot poses and feature positions are treated as graph nodes and the odometry and observations are treated as edges. The size of the graph exerts an important influence on the efficiency of the graph optimization. Conventionally, the size of the graph is kept small by discarding the current frame if it is not spatially far enough from the previous one or not informative enough. However, these approaches cannot discard the already preserved frames when the robot re-visits the previously explored area. We propose a measure derived from Kullbach-Leibler divergence to decide whether a frame should be discarded, achieving an online implementation of the graph pruning algorithm for feature mapping, of which the pruned frame can be any of the preserved frames. The experimental results using real world datasets show that the proposed pruning algorithm can effectively reduce the size of the graph while maintaining the map accuracy. © 2013 IEEE.
Wijerathna, B, Vidal-Calleja, T, Kodagoda, S, Zhang, Q & Valls Miro, J 1970, 'Multiple defect interpretation based on Gaussian processes for MFL technology', SPIE Proceedings, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, SPIE, San Diego, USA, pp. 86941Z-86941Z.
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Magnetic Flux Leakage (MFL) technology has been used in non-destructive testing for more than three decades. There have been several publications in detecting and sizing defects on metal pipes using machine learning techniques. Most of these literature focus on isolated defects, which is far from the real scenario. This study is towards the generalization of interpretation of the leakage flux in the presence of multiple defects based on simulation models, together with data-driven inference methodologies, such as Gaussian Process (GP) models. A MFL device has been simulated using both COMSOL Multiphysics and ANSYS software followed by prototyping the same device for experimental validations. Multiple defects with different geometrical configurations were introduced on a cast iron pipe sample and both radial and axial components of the leakage field have been measured. It was observed that both axial and radial components differ with different defect configurations. We propose to use GP to solve the inverse model problem by capturing such behaviors, i.e. to recover the profille of a cluster of defects from the measurements of a MFL device. The data was used to learn the non-parametric GP model with squared exponential covariance function and automatic relevance determination to solve this regression problem. Extensive quantitative and qualitative evaluations are presented using simulated and experimental data that validate the success of the proposed non-parametric methodology for interpreting the profiling of clusters of defects with MFL technology. © 2013 SPIE.
Xu, Z, Fitch, R, Sukkarieh, S & IEEE 1970, 'Decentralised Coordination of Mobile Robots for Target Tracking with Learnt Utility Models', 2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE International Conference on Robotics and Automation, IEEE, Karlsruhe, Germany, pp. 2014-2020.
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This paper addresses the coordination of a decentralised robot team for target tracking. In many approaches to coordination, robots jointly plan their actions through negotiation, which incurs communication costs. Previous work examined the use of learning to reduce the need for negotiations in a network of static robots. Robots incrementally learn how each team member impacts the team utility and can thus make coordinated, team-wide decisions. In this paper, we extend the concept of learning utility models to a team of mobile robots. We also propose a mechanism by which robots switch between negotiating and using the learnt model. This mechanism reduces the communications required for coordination whilst maintaining the same level of tracking performance. Hardware experiments demonstrated that our approach resulted in coordinated behaviours while only negotiating intermittently. Simulation results show that our approach reduced the data communicated for negotiations by up to 70%, without making a statistically significant impact on the tracking performance. © 2013 IEEE.
Yoo, C, Fitch, R, Sukkarieh, S & IEEE 1970, 'Provably-Correct Stochastic Motion Planning with Safety Constraints', 2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE International Conference on Robotics and Automation, IEEE, Karlsruhe, Germany, pp. 981-986.
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Formal methods based on the Markov decision process formalism, such as probabilistic computation tree logic (PCTL), can be used to analyse and synthesise control policies that maximise the probability of mission success. In this paper, we consider a different objective. We wish to minimise time-to-completion while satisfying a given probabilistic threshold of success. This important problem naturally arises in motion planning for outdoor robots, where high quality mobility prediction methods are available but stochastic path planning typically relies on an arbitrary weighted cost function that attempts to balance the opposing goals of finding safe paths (minimising risk) while making progress towards the goal (maximising reward). We propose novel algorithms for model checking and policy synthesis in PCTL that 1) provide a quantitative measure of safety and completion time for a given policy, and 2) synthesise policies that minimise completion time with respect to a given safety threshold. We provide simulation results in a stochastic outdoor navigation domain that illustrate policies with varying levels of risk. © 2013 IEEE.
Zainudin, Z, Kodagoda, S, Dissanayake, G & IEEE 1970, 'Mutual Information Based Data Selection in Gaussian Processes for 2D Laser Range Finder Based People Tracking', 2013 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM): MECHATRONICS FOR HUMAN WELLBEING, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, IEEE, Wollongong, Australia, pp. 477-482.
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In general, a model to describe human motion patterns should have a capability of enhancing tracking performance even with long term occlusions. One way of effectively learn these patterns is to apply Gaussian Processes (GP). However, with the increase of the amount of training data with time, the GP becomes computationally expensive. In this work, we have proposed a Mutual Information (MI) based technique along with the Mahalanobis Distance (MD) measure to keep the most informative data while discarding the least informative data. The algorithm is tested with data collected in an office environment with a Segway robot equipped with a laser range finder. It leads to more than 90% data reduction while keeping the limit of Average Route Mean Square Error (ARMSE). We have also implemented a GP based Particle filter tracker for long term people tracking with occlusions. The comparison results with Extended Kalman Filter (EKF) based tracker shows the superiority of the proposed approach.
Zhao, L, Huang, S & Dissanayake, G 1970, 'Linear SLAM: A Linear Solution to the Feature-based and Pose Graph SLAM based on Submap Joining', 2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, Tokyo, Japan, pp. 24-30.
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This paper presents a strategy for large-scale SLAM through solving a sequence of linear least squares problems. The algorithm is based on submap joining where submaps are built using any existing SLAM technique. It is demonstrated that if submaps coordinate frames are judiciously selected, the least squares objective function for joining two submaps becomes a quadratic function of the state vector. Therefore, a linear solution to large-scale SLAM that requires joining a number of local submaps either sequentially or in a more efficient Divide and Conquer manner, can be obtained. The proposed Linear SLAM technique is applicable to both feature-based and pose graph SLAM, in two and three dimensions, and does not require any assumption on the character of the covariance matrices or an initial guess of the state vector. Although this algorithm is an approximation to the optimal full nonlinear least squares SLAM, simulations and experiments using publicly available datasets in 2D and 3D show that Linear SLAM produces results that are very close to the best solutions that can be obtained using full nonlinear optimization started from an accurate initial value. The C/C++ and MATLAB source codes for the proposed algorithm are available on OpenSLAM. © 2013 IEEE.
