Optimal Rendezvous ${\mathcal L}$-Algorithms for Asynchronous Mobile Robots with External-Lights
Takashi Okumura, Koichi Wada, Xavier D\'efago

TL;DR
This paper investigates the rendezvous problem for asynchronous mobile robots with external-lights, establishing the minimal number of colors needed for optimal L-algorithms and demonstrating their limitations.
Contribution
It introduces a subclass of asynchronous models where rendezvous with external-lights is possible and proves the optimality of the number of colors used in L-algorithms.
Findings
Rendezvous is solvable with full-lights and 3 colors in asynchronous settings.
No L-algorithms with external-lights are possible in general asynchronous models.
The paper establishes the minimal number of colors needed for external-light L-algorithms in a specific asynchronous subclass.
Abstract
We study the Rendezvous problem for 2 autonomous mobile robots in asynchronous settings with persistent memory called light. It is well known that Rendezvous is impossible in a basic model when robots have no lights, even if the system is semi-synchronous. On the other hand, Rendezvous is possible if robots have lights of various types with a constant number of colors. If robots can observe not only their own lights but also other robots' lights, their lights are called full-light. If robots can only observe the state of other robots' lights, the lights are called external-light. In this paper, we focus on robots with external-lights in asynchronous settings and a particular class of algorithms (called L-algorithms), where an L-algorithm computes a destination based only on the current colors of observable lights. When considering L-algorithms, Rendezvous can be solved by robots with…
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Taxonomy
TopicsOptimization and Search Problems · Robotic Path Planning Algorithms · Advanced Manufacturing and Logistics Optimization
