A Hybrid Controller for Multi-Agent Collision Avoidance via a Differential Game Formulation

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Abstract

We consider the multi-agent collision avoidance problem for a team of wheeled mobile robots. Recently, a local solution to this problem, based on a game-theoretic formulation, has been provided and validated via numerical simulations. Due to its local nature, the result is not well-suited for online applications. In this article, we propose a novel hybrid implementation of the control inputs that yields a control strategy suited for the online navigation of mobile robots. Moreover, subject to a certain dwell time condition, the resulting trajectories are globally convergent. The control design is demonstrated both via simulations and experiments.

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Cappello, D., Garcin, S., Mao, Z., Sassano, M., Paranjape, A., & Mylvaganam, T. (2021). A Hybrid Controller for Multi-Agent Collision Avoidance via a Differential Game Formulation. IEEE Transactions on Control Systems Technology, 29(4), 1750–1757. https://doi.org/10.1109/TCST.2020.3005602

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