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About

Xueyong Li is a robotics researcher whose work focuses on advancing autonomous manipulation systems, particularly for healthcare and industrial applications. His key research areas include compliant manipulation, grasp stability, and object property estimation for robotic hands. Li’s major contributions center on developing methods to enable robots to safely and effectively interact with unknown or delicate objects. Notably, his 2020 paper on a compliant manipulation method for nursing robots (11 citations) addresses the critical challenge of safe physical human-robot interaction by leveraging the natural structure of human limbs. His earlier work (2018, 9 citations) on exploring an object’s center of mass and friction coefficient provides a foundational approach for autonomous grasping without prior knowledge of object properties—a key step toward truly adaptive robotic hands. Li also contributed to quantitative motion detection of in-hand objects (2019, 3 citations), helping robots detect and correct grasp failures like slipping or tilting in real time. While his citation counts are modest, his research directly tackles practical, unsolved problems in robotic manipulation, with clear implications for assistive robotics and manufacturing automation.