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AAMAS 2019

Multi-agent Path Planning with Non-constant Velocity Motion

Conference Paper Extended Abstracts Autonomous Agents and Multiagent Systems

Abstract

Multi-agent path planning has wide application in fields such as robotics, transportation, logistics, computer games, etc. . To formulate the multi-agent path finding as a concisely discretized problem, most of the previous works did not construct a detailed motion model of each agent. While many elegant algorithms were proposed in the literature, a method to efficiently plan the paths for multi agents with non-constant velocity is still lacking. In this paper, we propose two methods CRISE and COB to extend the existing algorithms for non-constant velocity motion path planning.

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Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2026
Indexed papers
8043
Paper id
340672978739658216
v2026.09.13