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

Fabrice Zeug, Marvin B. Becker, Matthias A. Müller

发表年份
2024
引用次数
3

摘要

The rise of autonomous driving in everyday life makes efficient and collision-free motion planning more important 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.

关键词

Motion planningRobotComputer scienceField (mathematics)Motion (physics)Robot kinematicsPotential fieldMobile robotArtificial intelligenceComputer vision

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