Collisionless and Decentralized Formation Control for Strings
Young-Pil Choi, Dante Kalise, Andr\'es A. Peters

TL;DR
This paper introduces a decentralized control method for multi-agent systems that ensures collision avoidance, flocking behavior, and pattern formation, with rigorous analysis and numerical validation.
Contribution
It presents a novel decentralized feedback controller inspired by vehicle platooning, with theoretical guarantees for collision-free trajectories and pattern convergence.
Findings
Collision-free trajectories are guaranteed under certain conditions.
Flocking behavior towards velocity consensus is achieved.
Agents asymptotically form prescribed distance patterns.
Abstract
A decentralized feedback controller for multi-agent systems, inspired by vehicle platooning, is proposed. The closed loop resulting from the decentralized control action has three distinctive features: the generation of collision-free trajectories, flocking of the system towards a consensus state in velocity, and asymptotic convergence to a prescribed pattern of distances between agents. For each feature, a rigorous dynamical analysis is provided, yielding a characterization of the set of parameters and initial configurations where collision avoidance, flocking, and pattern formation are guaranteed. Numerical tests assess the theoretical results presented.
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Modular Robots and Swarm Intelligence · Reinforcement Learning in Robotics
