Haiteng Wu — accepted AI-conference papers

2025

Safety-Aware Shared Control for Teleoperated Robotic Precision Tasks Under Dynamic Interference

Ruohan Wang, Honghao Lyu, Zhengjie Zhu, Ying Yang, Xiaoyan Huang, Haiteng Wu +3

RA-L 2025

This study presents a safety-aware shared control strategy that combines proximity sensing and force guidance to achieve precise and stable teleoperation under dynamic interference. Based on the sensing information of the proximity sensor, a safety-aware controller is designed to enable the manipula

Cited by 0 Source ↗Scholar ↗

2024

A Smooth Velocity Transition Framework Based on Hierarchical Proximity Sensing for Safe Human-Robot Interaction

Ruohan Wang, Chen Li, Honghao Lv, Gaoyang Pang, Haiteng Wu, Geng Yang

RA-L 2024

With the rapid technology development pushing the introduction of the fifth industrial revolution, Industry 5.0, robots are getting rid of fences and sharing the workspace with humans. In such a context, ensuring the safety of humans and robots is a critical demand. One of the effective methods for

Cited by 5 Source ↗Scholar ↗