AI RESEARCH
Precomputing Multi-Agent Path Replanning using Temporal Flexibility
arXiv CS.AI
•
ArXi:2601.04884v2 Announce Type: replace Executing a multi-agent plan can be challenging when an agent is delayed, because this typically creates conflicts with other agents. So, we need to quickly find a new safe plan. Replanning only the delayed agent often does not yield an efficient plan, and sometimes cannot even yield a feasible one. On the other hand, replanning other agents may lead to a cascade of changes and delays and is computationally expensive. We show how to efficiently replan by tracking and using the temporal flexibility of other agents while avoiding cascading delays.