English

Stand Up Indulgent Gathering

Distributed, Parallel, and Cluster Computing 2023-02-08 v1 Multiagent Systems

Abstract

We consider a swarm of mobile robots evolving in a bidimensional Euclidean space. We study a variant of the crash-tolerant gathering problem: if no robot crashes, robots have to meet at the same arbitrary location, not known beforehand, in finite time; if one or several robots crash at the same location, the remaining correct robots gather at the crash location to rescue them. Motivated by impossibility results in the semi-synchronous setting, we present the first solution to the problem for the fully synchronous setting that operates in the vanilla Look-Compute-Move model with no additional hypotheses: robots are oblivious, disoriented, have no multiplicity detection capacity, and may start from arbitrary positions (including those with multiplicity points). We furthermore show that robots gather in a time that is proportional to the initial maximum distance between robots.

Keywords

Cite

@article{arxiv.2302.03466,
  title  = {Stand Up Indulgent Gathering},
  author = {Quentin Bramas and Anissa Lamani and Sébastien Tixeuil},
  journal= {arXiv preprint arXiv:2302.03466},
  year   = {2023}
}

Comments

arXiv admin note: substantial text overlap with arXiv:2010.04400

R2 v1 2026-06-28T08:34:06.772Z