Conflict-Based Search for Multi Agent Path Finding with Asynchronous Actions
#Conflict-Based Search #multi-agent path finding #asynchronous actions #path planning #agent coordination #algorithm #robotics
📌 Key Takeaways
- Conflict-Based Search (CBS) is adapted for multi-agent path finding with asynchronous actions.
- The approach allows agents to move at different times, increasing flexibility in planning.
- It addresses conflicts that arise when agents' paths intersect in time and space.
- The method aims to improve efficiency in dynamic or real-time environments.
- Asynchronous actions can reduce overall completion time compared to synchronous models.
📖 Full Retelling
arXiv:2603.18866v1 Announce Type: new
Abstract: Multi-Agent Path Finding (MAPF) seeks collision-free paths for multiple agents from their respective start locations to their respective goal locations while minimizing path costs. Most existing MAPF algorithms rely on a common assumption of synchronized actions, where the actions of all agents start at the same time and always take a time unit, which may limit the use of MAPF planners in practice. To get rid of this assumption, Continuous-time Co
🏷️ Themes
Path Planning, Multi-Agent Systems
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Original Source
arXiv:2603.18866v1 Announce Type: new
Abstract: Multi-Agent Path Finding (MAPF) seeks collision-free paths for multiple agents from their respective start locations to their respective goal locations while minimizing path costs. Most existing MAPF algorithms rely on a common assumption of synchronized actions, where the actions of all agents start at the same time and always take a time unit, which may limit the use of MAPF planners in practice. To get rid of this assumption, Continuous-time Co
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