A passive navigation planning algorithm for collision-free control of mobile robots

Tiseo, Carlo, Ivan, Vladimir, Merkt, Wolfgang, Havoutis, Ioannis, Mistry, Michael and Vijayakumar, Sethu (2021) A passive navigation planning algorithm for collision-free control of mobile robots. 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 30 May 2021 - 5 Jun 2021. Published in: 2021 IEEE International Conference on Robotics and Automation (ICRA). 8223-8229. IEEE ISSN 1050-4729 ISBN 9781728190785

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Path planning and collision avoidance are challenging in complex and highly variable environments due to the limited horizon of events. In literature, there are multiple model- and learning-based approaches that require significant computational resources to be effectively deployed and they may have limited generality. We propose a planning algorithm based on a globally stable passive controller that can plan smooth trajectories using limited computational resources in challenging environmental conditions. The architecture combines the recently proposed fractal impedance controller with elastic bands and regions of finite time invariance. As the method is based on an impedance controller, it can also be used directly as a force/torque controller. We validated our method in simulation to analyse the ability of interactive navigation in challenging concave domains via the issuing of via-points, and its robustness to low bandwidth feedback. A swarm simulation using 11 agents validated the scalability of the proposed method. We have performed hardware experiments on a holonomic wheeled platform validating smoothness and robustness of interaction with dynamic agents (i.e., humans and robots). The computational complexity of the proposed local planner enables deployment with low-power micro-controllers lowering the energy consumption compared to other methods that rely upon numeric optimisation.

Item Type: Conference Proceedings
Additional Information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Schools and Departments: School of Engineering and Informatics > Engineering and Design
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 20 Dec 2021 10:01
Last Modified: 04 Mar 2022 17:12
URI: http://sro.sussex.ac.uk/id/eprint/103433

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