Exploring Wedges of an Oriented Grid by an Automaton with Pebbles
Subhash Bhagat, Andrzej Pelc

TL;DR
This paper determines the minimum number of pebbles needed for a finite automaton to explore wedge-shaped regions in an infinite grid, depending on geometric and crossing constraints, providing a complete characterization.
Contribution
It provides a complete classification of the minimum pebbles required for exploration of wedges in an infinite grid, based on geometric angles and crossing abilities.
Findings
Minimum pebbles needed range from 0 to 3.
The exploration feasibility depends on the wedge's angle and crossing capabilities.
The paper offers explicit automata constructions for each case.
Abstract
A mobile agent, modeled as a deterministic finite automaton, navigates in the infinite anonymous oriented grid . It has to explore a given infinite subgraph of the grid by visiting all of its nodes. We focus on the simplest subgraphs, called {\em wedges}, spanned by all nodes of the grid located between two half-lines in the plane, with a common origin. Many wedges turn out to be impossible to explore by an automaton that cannot mark nodes of the grid. Hence, we study the following question: Given a wedge , what is the smallest number of (movable) pebbles for which there exists an automaton that can explore using pebbles? Our main contribution is a complete solution of this problem. For each wedge we determine this minimum number , show an automaton that explores it using pebbles and show that fewer pebbles are not enough. We show…
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Taxonomy
TopicsOptimization and Search Problems · Mobile Agent-Based Network Management · Computational Geometry and Mesh Generation
