Robotic Perception with Unconventional Sensors

Project Member(s): Vidal Calleja, T., Dissanayake, G.

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)
Australian Research Council (ARC Discovery Projects)

Start year: 2021

Summary: Autonomy in robotic systems currently relies on conventional sensors such as lasers and cameras. Alternative sensing modalities as in the case of active electromagnetic sensors are commonly used to detect flaws, cracks and assess infrastructure’s integrity, however, fundamental research questions preclude their use for robotic perception. This project will develop the theory and algorithms to enable perception tasks such as localisation, mapping and recognition with unconventional sensors. The outcomes of this research have the potential to improve the effectiveness of critical civil infrastructure maintenance technology through accurate and reliable inspections, and the reduced need for human intervention.

Publications:

Gentil, CL, Tschopp, F, Alzugaray, I, Vidal-Calleja, T, Siegwart, R & Nieto, J 1970, 'IDOL: A Framework for IMU-DVS Odometry using Lines', 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, Las Vegas, NV, USA, pp. 5863-5870.
View/Download from: Publisher's site

FOR Codes: Expanding Knowledge in Engineering, Adaptive Agents and Intelligent Robotics, Intelligent robotics

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.