Papers
29
Total Citations
718
H-Index
15
About
Pei Di is a leading researcher in assistive robotics, specializing in intelligent walking-aid systems, human-robot interaction, and fall prevention for the elderly and physically challenged. His most significant contribution is the development of the omnidirectional-type cane robot—a smart, sensor-rich device that interprets human walking intention through sensor fusion and adaptive control. Di introduced the concept of “intentional direction,” enabling the cane to anticipate and respond to user movements, which has become foundational in the field. His work on fall detection and prevention, including ZMP stability control and tandem stance avoidance, has been highly influential, with his top-cited paper, “Human-Walking-Intention-Based Motion Control of an Omnidirectional-Type Cane Robot” (2011), accumulating 188 citations. His 2015 study on fall detection and prevention control has garnered 104 citations, reflecting its impact on safety-critical design. Beyond walking aids, Di has contributed to robotic assembly systems, including fault detection for electric connectors and the i-Hand for precision manufacturing, as well as quadrupedal locomotion control. His research bridges mechanical design, control theory, and real-world clinical needs, making him a key figure in assistive and industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Fall Detection and Prevention Control Using Walking-Aid Cane Robot104 citations · 2015
- 3Motion control of omni-directional type cane robot based on human intention45 citations · 2008
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- 5Study of Fall Detection Using Intelligent Cane Based on Sensor Fusion36 citations · 2008
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- 9Optimal posture control for stability of intelligent cane robot19 citations · 2012
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