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Circular Field Motion Planning for Highly-Dynamic Multi-Robot Systems with Application to Robot Soccer

Fabrice Zeug, Marvin Becker, Matthias A. Müller

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Abstract

The rise of autonomous driving in everyday life makes efficient and collision-free motion planning more im- portant than ever. However, multi robot applications in highly dynamic environments still pose hard challenges for state- of-the-art motion planners. In this paper, we present a new iteration of a reactive circular fields motion planner with the focus on simultaneous control of multiple robots in robotic soccer games, which is able to operate omnidirectional robots safely and efficiently despite high measurement delays and inaccuracies. Our extension enables the definition and effective execution of complex tasks in soccer specific problems. We extensively evaluated our planner in several complex simulation environments and experimentally verified the approach in realistic scenarios on real soccer robots. Furthermore, we demonstrated the capabilities of our motion planner during the successful participation in the RoboCup 2022 and 2023.

Index terms

Reactive and Sensor-Based Planning Collision Avoidance Path Planning for Multiple Mobile Robots or Agents