Compatibility of convergence algorithms for autonomous mobile robots
Yuichi Asahiro, Masafumi Yamashita

TL;DR
This paper analyzes the compatibility of convergence algorithms for autonomous mobile robots, classifying various problems based on their ability to always reduce the convex hull under crash failures.
Contribution
It provides a classification of convergence and fault-tolerant problems for mobile robots based on compatibility of target functions under crash failures.
Findings
Convergence, FC(1), FC(1)-PO, and FC(f)-CP form the first compatible group.
Gathering and FC(f)-PO for f ≥ 2 are incompatible with convex hull shrinking.
FC(f) for f ≥ 2 occupies an intermediate position in the compatibility classification.
Abstract
We investigate autonomous mobile robots in the Euclidean plane. A robot has a function called target function to decide the destination from the robots' positions. Robots may have different target functions. If the robots whose target functions are chosen from a set of target functions always solve a problem , we say that is compatible with respect to . If is compatible with respect to , every target function is an algorithm for . Even if both and are algorithms for , may not be compatible with respect to . From the view point of compatibility, we investigate the convergence, the fault tolerant ()-convergence (FC()), the fault tolerant ()-convergence to points (FC()-PO), the fault tolerant ()-convergence to a convex -gon (FC()-CP), and the gathering…
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Taxonomy
TopicsOptimization and Search Problems · Graph Labeling and Dimension Problems · semigroups and automata theory
