English

Swarm Relays: Distributed Self-Healing Ground-and-Air Connectivity Chains

Robotics 2020-07-02 v2

Abstract

The coordination of robot swarms - large decentralized teams of robots - generally relies on robust and efficient inter-robot communication. Maintaining communication between robots is particularly challenging in field deployments. Unstructured environments, limited computational resources, low bandwidth, and robot failures all contribute to the complexity of connectivity maintenance. In this paper, we propose a novel lightweight algorithm to navigate a group of robots in complex environments while maintaining connectivity by building a chain of robots. The algorithm is robust to single robot failures and can heal broken communication links. The algorithm works in 3D environments: when a region is unreachable by wheeled robots, the chain is extended with flying robots. We test the performance of the algorithm using up to 100 robots in a physics-based simulator with three mazes and different robot failure scenarios. We then validate the algorithm with physical platforms: 7 wheeled robots and 6 flying ones, in homogeneous and heterogeneous scenarios.

Keywords

Cite

@article{arxiv.1909.10496,
  title  = {Swarm Relays: Distributed Self-Healing Ground-and-Air Connectivity Chains},
  author = {Vivek Shankar Varadharajan and David St-Onge and Bram Adams and Giovanni Beltrame},
  journal= {arXiv preprint arXiv:1909.10496},
  year   = {2020}
}

Comments

9 pages, 8 figures, Accepted for publication in Robotics and Automation Letters (RAL)

R2 v1 2026-06-23T11:23:28.462Z