Abstract
This paper introduces a motion planning system for real-time control of multiple high performance robots in dynamic and unpredictable domains. It consists of a randomized realtime path planner, a bounded acceleration motion control system, and a randomized velocity-space search for collision avoidance of multiple moving robots. The realtime planner ignores dynamics, simplifying planning, while the motion control ignores obstacles, allowing a closed form solution. This allows up to five robots to be controlled 60 times per second, but collisions can arise due to dynamics. Thus a randomized search is performed in the robot’s velocity space to find a safe action which satisfies both obstacle and dynamics constraints. The system has been fully implemented, and empirical results are presented.
This work was supported by United States Department of the Interior under Grant No. NBCH-1040007, and by Rockwell Scientific Co., LLC under subcontract No. B4U528968 and prime contract No. W911W6-04-C-0058 with the US Army. The views and conclusions contained herein are those of the authors, and do not necessarily reflect the position or policy of the sponsoring institutions, and no official endorsement should be inferred.
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References
Bowling, M. and Veloso, M. (1999). Motion control in dynamic multi-robot environments. In International Symposium on Computational Intelligence in Robotics and Automation (CIRA’99).
Brock, O. and Khatib, O. (1999). High-speed navigation using the global dynamic window approach. In Proceedings of the IEEE International Conference on Robotics and Automation.
Bruce, J., Bowling, M., Browning, B., and Veloso, M. (2003). Multi-robot team response to a multi-robot opponent team. In Proceedings of the IEEE International Conference on Robotics and Automation.
Bruce, J. and Veloso, M. (2002). Real-time randomized path planning for robot navigation. In Proceedings of the IEEE Conference on Intelligent Robots and Systems (IROS).
Fox, D., Burgard, W., and Thrun, S. (1997). The dynamic window approach to collision avoidance. IEEE Robotics and Automation Magazine, 4.
Kitano, H., Asada, M., Kuniyoshi, Y., Noda, I., and Osawa, E. (1995). Robocup: The robot world cup initiative. In Proceedings of the IJCAI-95 Workshop on Entertainment and AI/ALife.
LaValle, S. M. (1998). Rapidly-exploring random trees: A new tool for path planning. In Technical Report No. 98-11.
LaValle, S. M. and James J. Kuffner, J. (2001). Randomized kinodynamic planning. In International Journal of Robotics Research, Vol. 20, No. 5, pages 378–400.
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Bruce, J., Veloso, M. (2005). Real-Time Multi-Robot Motion Planning with Safe Dynamics. In: Parker, L.E., Schneider, F.E., Schultz, A.C. (eds) Multi-Robot Systems. From Swarms to Intelligent Automata Volume III. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3389-3_13
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DOI: https://doi.org/10.1007/1-4020-3389-3_13
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-3388-9
Online ISBN: 978-1-4020-3389-6
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