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About

Jinfei Hu is a leading researcher in advanced robotics, specializing in precision motion control, teleoperation systems, and human-robot collaboration. His work addresses critical challenges in industrial and service robotics, particularly in dynamic environments where payload estimation and disturbance rejection are paramount. Hu’s most cited paper, “Precision Motion Control of a 6-DoFs Industrial Robot With Accurate Payload Estimation” (2020, 79 citations), introduces a novel framework that integrates offline dynamics identification with real-time payload adaptation, significantly enhancing collaborative robot performance. He further advanced teleoperation through his modular “Master-Slave Asymmetric Teleoperation Systems” (2018, 29 citations), which leverages ROS and MATLAB/Simulink for flexible, portable control. Hu has also developed adaptive robust control strategies for multi-DoF industrial robots and teleoperation systems handling unknown payloads, as seen in his 2021 and 2022 works. His research on telepresence-guaranteed control for weight-unknown object transfer (2022) pushes boundaries in medical and rescue robotics. With a focus on practical, robust solutions, Hu’s contributions—spanning adaptive control, workspace mapping, and disturbance rejection—have earned him recognition for bridging theoretical control methods with real-world robotic applications, impacting both industrial automation and remote manipulation.