Xianwen Zeng
Papers
2
Total Citations
39
H-Index
2
About
Xianwen Zeng is a pioneering researcher at the intersection of robotics education and intelligent human-robot interaction. His work primarily focuses on two transformative areas: developing innovative pedagogical frameworks for robotics learning and creating adaptive control systems for physical human-robot collaboration. In his highly cited 2018 work, Zeng introduced a groundbreaking robotic kinematics teaching system that seamlessly integrates virtual reality, remote control, and on-site laboratory experimentation, addressing the critical need for accessible, hands-on robotics education. This multimodal approach, built on a Browser/Server architecture with a 6-DOF articulated robot simulation, has garnered 24 citations for its practical impact on engineering curricula. More recently, Zeng has advanced the field of medical robotics with his 2022 study on intelligent impedance control for massage robots. By developing a novel skin dynamic model to account for uncertain human tissue characteristics, his system achieves precise position and force control—a critical challenge in therapeutic robotics. This work, with 15 citations, demonstrates Zeng’s ability to translate complex control theory into real-world healthcare applications. His research bridges the gap between theoretical robotics and practical, human-centered systems, making him a notable figure in both educational technology and assistive robotics.
Research Focus
Key Achievements
Top Papers
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- 2