3 papers
cs.RO2025
SMART: Scalable Multi-Agent Reasoning and Trajectory Planning in Dense Environments
Heye Huang, Yibin Yang, Wang Chen +3
Multi-vehicle trajectory planning is a non-convex problem that becomes increasingly difficult in dense environments due to the rapid growth of collision constraints. Efficient expl…
cs.RO2025
ESCoT: An Enhanced Step-based Coordinate Trajectory Planning Method for Multiple Car-like Robots
Junkai Jiang, Yihe Chen, Yibin Yang +3
Multi-vehicle trajectory planning (MVTP) is one of the key challenges in multi-robot systems (MRSs) and has broad applications across various fields. This paper presents ESCoT, an…
cs.RO2025
CTS-CBS: A New Approach for Multi-Agent Collaborative Task Sequencing and Path Finding
Junkai Jiang, Ruochen Li, Yibin Yang +4
This paper addresses a generalization problem of Multi-Agent Pathfinding (MAPF), called Collaborative Task Sequencing - Multi-Agent Pathfinding (CTS-MAPF), where agents must plan c…