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AAAI 2021

OzoMorph: Demonstrating Colored Multi-Agent Path Finding on Real Robots

System Paper AAAI Demonstration Track Artificial Intelligence

Abstract

Multi-agent Path Finding (MAPF) deals with finding collision-free paths for a set of agents on a graph, where each agent has its origin and destination. Colored MAPF is a generalization of MAPF, where groups of agents are moving, and the set of destination nodes is specified per group rather than per agent. OzoMorph is software providing an intuitive user interface for specifying Colored MAPF problems, solving them by translation to SAT, and finally visualizing the solution either in a computer simulation or by converting the plans to executable instructions for Ozobot Evo robots.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
24291936815975359
v2026.09.13