Kai Rao — accepted AI-conference papers

2025

Distributed Pursuit of an Evader with Adaptive Robust Path Control Under State Measurement Uncertainty

Kai Rao, Huaicheng Yan, Zhihao Huang, Penghui Yang, Yunkai Lv

ICRA 2025

This paper presents a distributed pursuit frame-work for environments with obstacles considering state measurement uncertainty. Our framework consists of two primary components: the computation of safe pursuit regions based on Voronoi cell (VC) and the solution of an adaptive robust path controller

Cited by 0 Source ↗Scholar ↗

2025

Swift Pursuer: A Topology-Accelerated and Robust Approach for Pursuing an Evader in Obstacle Environments With State Measurement Uncertainty

Kai Rao, Huaicheng Yan, Zhihao Huang, Penghui Yang, Yunkai Lv, Meng Wang

RA-L 2025

This letter presents a topology-accelerated and robust pursuit framework for environments with obstacles considering state measurement uncertainty. Our framework consists of three primary components: the selection of virtual target points using topological heuristic method to encourage path diversit

Cited by 9 Source ↗Scholar ↗