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

  • D. Cappello
  • , S. Garcin
  • , Z. Mao
  • , M. Sassano
  • , A. Paranjape
  • , T. Mylvaganam

Research output: Contribution to journalArticleResearchpeer-review

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.

Original languageEnglish
Pages (from-to)1750-1757
Number of pages8
JournalIEEE Transactions on Control Systems Technology
Volume29
Issue number4
DOIs
Publication statusPublished - Jul 2021
Externally publishedYes

Keywords

  • Collision avoidance
  • hybrid systems
  • multi-robot systems
  • nonlinear control
  • path planning for multiple robots

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