Papers
8
Total Citations
53
H-Index
5
About
Shoupu Chen is a pioneering researcher in rehabilitation robotics, dedicated to restoring independence for individuals with physical disabilities. His work centers on developing intelligent human-machine interfaces (HMI) and advanced control systems for assistive robots. Chen’s major contributions include the design of a head-operated, force-reflecting rehabilitation robot system (13 citations) and the creation of a multimodal HMI that combines gesture and speech commands (8 citations), allowing users with limited upper extremity function to control robots with greater freedom. He also advanced robot control theory through discrete-time adaptive impedance control (7 citations), enabling manipulators to adapt to uncertain environments. A key achievement is his leadership in the Multimodal User Supervised Interface and Intelligent Control (MUSIIC) project, which integrates reactive planning with multimodal interaction to create an intelligent robotic assistant for unstructured environments. Chen’s work on a virtual headstick system (2 citations) offers an innovative alternative to traditional assistive devices for people with spinal cord injuries. With a career spanning from the mid-1990s to the early 2000s, his research laid critical groundwork for intuitive, safe, and adaptive assistive technologies that continue to influence the field.
Research Focus
Key Achievements
Top Papers
- 1
- 2Gesture-speech based HMI for a rehabilitation robot8 citations · 2002
- 3
- 4Color and three-dimensional vision-based assistive telemanipulation7 citations · 1998
- 5
- 6Multimodal User Supervised Interface and Intelligent Control (MUSHC)5 citations · 1995
- 7
- 8A Virtual Headstick for People with Spinal Cord Injuries2 citations · 1998