Arrow Research search
Back to IJCAI

IJCAI 2019

Reachability and Coverage Planning for Connected Agents

Conference Paper Agent-based and Multi-agent Systems Artificial Intelligence

Abstract

Motivated by the increasing appeal of robots in information-gathering missions, we study multi-agent path planning problems in which the agents must remain interconnected. We model an area by a topological graph specifying the movement and the connectivity constraints of the agents. We study the theoretical complexity of the reachability and the coverage problems of a fleet of connected agents on various classes of topological graphs. We establish the complexity of these problems on known classes, and introduce a new class called sight-moveable graphs which admit efficient algorithms.

Authors

Keywords

  • Agent-based and Multi-agent Systems: Multi-agent Planning
  • Knowledge Representation and Reasoning: Computational Complexity of Reasoning
  • Planning and Scheduling: Theoretical Foundations of Planning

Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
395720636023928134
v2026.09.13