pith. sign in

arxiv: 1207.0226 · v1 · pith:XS2QJGSQnew · submitted 2012-07-01 · 💻 cs.DC · cs.RO

Wait-Free Gathering of Mobile Robots

classification 💻 cs.DC cs.RO
keywords gatheringrobotsalgorithmcrashproblemrobotconfigurationcorrect
0
0 comments X
read the original abstract

The problem of gathering multiple mobile robots to a single location, is one of the fundamental problems in distributed coordination between autonomous robots. The problem has been studied and solved even for robots that are anonymous, disoriented, memoryless and operate in the semi-synchronous (ATOM) model. However all known solutions require the robots to be faulty-free except for the results of [Agmon and Peleg 2006] who solve the gathering problem in presence of one crash fault. This leaves open the question of whether gathering of correct robots can be achieved in the presence of multiple crash failures. We resolve the question in this paper and show how to solve gathering, when any number of robots may crash at any time during the algorithm, assuming strong multiplicity detection and chirality. In contrast it is known that for the more stronger byzantine faults, it is impossible to gather even in a 3-robot system if one robot is faulty. Our algorithm solves the gathering of correct robots in the semi-synchronous model where an adversary may stop any robot before reaching its desired destination. Further the algorithm is self-stabilizing as it achieves gathering starting from any configuration (except the bivalent configuration where deterministic gathering is impossible).

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Notes on Theory of Distributed Systems

    cs.DC 2020-01 unverdicted

    Lecture notes compiling standard topics and results in distributed systems theory from basic communication to population protocols and topological methods.