Stand Up Indulgent Gathering
Bramas, Quentin, Lamani, Anissa, Tixeuil, Sébastien
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Feb-7-2023
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- Texas > Travis County > Austin (0.04)
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- Japan > Hokkaidō
- Hokkaidō Prefecture > Sapporo (0.04)
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- Japan > Hokkaidō
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- Research Report (0.50)
- Technology:
- Information Technology > Artificial Intelligence > Robots (1.00)