3 papers
cs.RO2026
AMBUSH: Collaborative Capture in Complex Environments with Neural Acceleration
Junfeng Chen, YinHang Luo, Xinyi Wang +2
Collaborative capture of dynamic targets is common in nature as an essential strategy for weaker species against the strong. Similar concepts have shown to be useful for numerous r…
cs.RO2026
HECTOR: Human-centric Hierarchical Coordination and Supervision of Robotic Fleets under Continual Temporal Tasks
Shen Wang, Yinhang Luo, Jie Li +1
Robotic fleets can be extremely efficient when working concurrently and collaboratively, e.g., for delivery, surveillance, search and rescue. However, it can be demanding or even i…
cs.RO2025
Flow-Aided Flight Through Dynamic Clutters From Point To Motion
Bowen Xu, Zexuan Yan, Minghao Lu +7
Challenges in traversing dynamic clutters lie mainly in the efficient perception of the environmental dynamics and the generation of evasive behaviors considering obstacle movement…