Intractability of Optimal Multi-Robot Path Planning on Planar Graphs
April 08, 2015 Β· Declared Dead Β· π IEEE Robotics and Automation Letters
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Authors
Jingjin Yu
arXiv ID
1504.02072
Category
cs.RO: Robotics
Cross-listed
cs.CC
Citations
99
Venue
IEEE Robotics and Automation Letters
Last Checked
4 months ago
Abstract
We study the computational complexity of optimally solving multi-robot path planning problems on planar graphs. For four common time- and distance-based objectives, we show that the associated path optimization problems for multiple robots are all NP-complete, even when the underlying graph is planar. Establishing the computational intractability of optimal multi-robot path planning problems on planar graphs has important practical implications. In particular, our result suggests the preferred approach toward solving such problems, when the number of robots is large, is to augment the planar environment to reduce the sharing of paths among robots traveling in opposite directions on those paths. Indeed, such efficiency boosting structures, such as highways and elevated intersections, are ubiquitous in robotics and transportation applications.
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