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Machine alignment system for remote operation

Project Member(s): Alempijevic, A., Huang, S., Dissanayake, G.

Funding or Partner Organisation: Pempek Systems Pty Ltd

Start year: 2013

Summary: This project aims to exploit robotics methods, technologies and approaches developed during the ARC Linkage with Pempek Pty Ltd to address the most significant issues currently under attention, namely the safety during mining operations (LP 0884112: Precision three-dimensional localization system for underground mining vehicles, offering improved productivity and personnel safety). The specifics addressed deal with improving real-time site awareness through vehicle localisation. Vehicle localisation enables effective remote operation of mining machinery during the cutting process, especially during outburst modes when presence of works around the miner is prohibited and will ultimately lead to the possibility of automating this process. The Research and Development contract will aid in evaluating the development sensor package and associated software on Machine Alignment of a Roadheader Miner. The project will require porting the current code base on a custom Colibri T20 system, incorporating a UWB radar unit and devising a GUI for teleoperation

Publications:

Hu, G, Huang, S, Zhao, L, Alempijevic, A & Dissanayake, G 2012, 'A Robust RGB-D SLAM algorithm', 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, Algarve, Portugal, pp. 1174-1179.
View/Download from: UTS OPUS or Publisher's site

Keywords: localisation, robotics, sensor fusion, mining automation

FOR Codes: Automation and Control Engineering, Coal Mining and Extraction