Home /Research /A Hybrid Controller for Multi-Agent Collision Avoidance via a Differential Game Formulation
OTHER

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

Domenico Cappello, S. Garcin, Zhi‐Hong Mao, Mario Sassano, Aditya A. Paranjape, Thulasi Mylvaganam

Year
2020
Citations
48

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.

Keywords

Collision avoidanceMobile robotDifferential gameRobotComputer scienceController (irrigation)CollisionControl theory (sociology)Control (management)Control engineering

Related papers

Browse all OTHER papers