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About

Changhou Lu is a leading researcher in the field of robotic manipulation, with a particular focus on developing intelligent, autonomous systems for physical human-robot interaction. His work is centered on solving fundamental challenges in robotic grasping and manipulation, especially for applications in assistive and nursing robotics. Lu’s major contributions include pioneering methods for compliant manipulation that leverage the physical structure of the human limb, enabling safer and more adaptive interactions between robots and people. He has also made significant advances in the autonomous exploration of unknown objects, developing techniques to estimate critical parameters such as center of mass and friction coefficient—properties essential for stable grasping but notoriously difficult to measure. Additionally, his research on quantitative motion detection of in-hand objects addresses common grasp failures like slanting, rolling, and dropping, directly improving manipulation stability and dexterity. With his most-cited work accumulating over 20 citations, Lu’s research is laying the groundwork for more capable and reliable robotic hands, with clear implications for the future of healthcare robotics and automated manufacturing.