Qiyu Cai — accepted AI-conference papers

2026

Continuous-Space Multi-Agent Path Finding via Enhanced Prioritized Search With Ackermann Kinematic Constraints

Tianyuan Zhang, Lin Zhang, Qiyu Cai, Shoukun Wang, Junzheng Wang

RA-L 2026

Multi-Agent Path Finding (MAPF) in complex environments remains challenging due to high computational complexity, frequent conflicts, and realistic motion constraints. Most existing methods focus on discrete spaces or idealized omnidirectional models, often neglecting or partially considering nonhol

Cited by 0 Source ↗Scholar ↗

2025

Dynamic Network Topology Analysis, Design, and Evaluation for Multi-Robot Vehicle Transfer in High-Density Storage Yards

Lin Zhang, Qiyu Cai, Runjiao Bao, Tianwei Niu, Yongkang Xu, Jinge Si +2

IROS 2025

With the rapid advancement of intelligent manufacturing and the rise of emerging markets, global auto-mobile exports have surged, placing unprecedented demands on logistics infrastructure. Efficient coordination of multiple robots for vehicle autonomous transfer is essential in high-density storage

Cited by 0 Source ↗Scholar ↗