Distributed Safe Cooperative Vector Field for Trajectory Curvature Constrained Multi-Robot Systems

Abstract:Trajectory curvature constraints are inherent in practical multi-robot systems due to the limited turning capabilities of the robots. Without properly accounting for these constraints, robots may fail to accomplish assigned tasks, and their trajectories may diverge from the intended paths. This paper proposes a distributed safe cooperative vector field approach for multi-robot systems subject to trajectory curvature constraints. The proposed approach is composed of a cooperative vector field and a safety-oriented collision avoidance vector field, aiming to address the problems of cooperative motion and safe collision avoidance in multi-robot path-following tasks. A safety-oriented collision avoidance vector field with adaptively adjustable reactive boundary is developed to accommodate the kinematic curvature constraints of robots, thereby ensuring the physical feasibility of collision avoidance maneuvers. The proposed vector field requires only a single virtual variable from each neighboring robot to achieve cooperative motion and ensure both obstacle avoidance and inter-robot collision avoidance. The effectiveness of the proposed approach is validated through both simulations and real-world experiments on an actual multi-robot platform.

12 pages, 4 figures. Best Student Paper Award at the 9th Chinese Conference on Swarm Intelligence and Cooperative Control (CCSICC 2025)

Robotics (cs.RO)

arXiv:2609.15266 [cs.RO]

(or arXiv:2609.15266v1 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2609.15266 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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