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

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conference contribution
posted on 2023-06-10, 02:02 authored by Carlo TiseoCarlo Tiseo, Vladimir Ivan, Wolfgang Merkt, Ioannis Havoutis, Michael Mistry, Sethu Vijayakumar
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.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

2021 IEEE International Conference on Robotics and Automation (ICRA)

ISSN

1050-4729

Publisher

IEEE

Page range

8223-8229

Event name

2021 IEEE International Conference on Robotics and Automation (ICRA)

Event location

Xi'an, China

Event type

conference

Event date

30 May 2021 - 5 Jun 2021

ISBN

9781728190785

Department affiliated with

  • Engineering and Design Publications

Notes

© 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

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2021-12-20

First Open Access (FOA) Date

2021-12-20

First Compliant Deposit (FCD) Date

2021-12-20

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