Junkai Jiang — accepted AI-conference papers

2026

Cycle Clustering: An Algorithm for Multi-Depot Multi-Agent Collaborative Coverage in Structured Road Network

Ruochen Li, Junkai Jiang, Jiongqi Wang, Shaobing Xu, Jianqiang Wang

RA-L 2026

Multi-depot multi-agent collaborative coverage is a representative problem in swarm intelligence, with broad applications in real-world scenarios. In this problem, multiple agents are initially located at different depots, which differs from the traditional problem setting, and are required to colla

Cited by 0 Source ↗Scholar ↗

2025

ESCoT: An Enhanced Step-based Coordinate Trajectory Planning Method for Multiple Car-like Robots

Junkai Jiang, Yihe Chen, Yibin Yang, Ruochen Li, Shaobing Xu, Jian-Qiang Wang

IROS 2025

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 enhanced step-based coordinate trajectory planning method for multiple car-like robots. ESCoT incorporates two key strat

Cited by 1 Source ↗Scholar ↗