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

Authors

  • Roman Barták Charles University, Prague
  • Jakub Mestek Charles University, Prague

DOI:

https://doi.org/10.1609/aaai.v35i18.17990

Keywords:

Path Planning, Multi-agent, Colored MAPF, Robots, Ozobot

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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Published

2021-05-18

How to Cite

Barták, R., & Mestek, J. (2021). OzoMorph: Demonstrating Colored Multi-Agent Path Finding on Real Robots. Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 15991-15993. https://doi.org/10.1609/aaai.v35i18.17990