Two Techniques That Enhance the Performance of Multi-robot Prioritized Path Planning
May 03, 2018 Β· Declared Dead Β· π Adaptive Agents and Multi-Agent Systems
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Authors
Anton Andreychuk, Konstantin Yakovlev
arXiv ID
1805.01270
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.RO
Citations
17
Venue
Adaptive Agents and Multi-Agent Systems
Last Checked
4 months ago
Abstract
We introduce and empirically evaluate two techniques aimed at enhancing the performance of multi-robot prioritized path planning. The first technique is the deterministic procedure for re-scheduling (as opposed to well-known approach based on random restarts), the second one is the heuristic procedure that modifies the search-space of the individual planner involved in the prioritized path finding.
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