Papers
7
Total Citations
28
H-Index
3
About
Jinsai Cheng is a rising researcher in the field of robotics, with a primary focus on cable-driven serial robots, medical robotics, and human-robot interaction. His most significant contribution lies in addressing the critical motion coupling problem in cable-driven serial robots—a challenge where movement in one joint inadvertently affects others, complicating control. Cheng’s innovative solution, the development of noncircular pulleys for motion decoupling, has been detailed in multiple papers, including his 2023 and 2024 works, which have collectively garnered over 5 citations. He also developed a smart walker based on a hybrid motion model and machine learning method (12 citations), showcasing his ability to integrate AI with assistive devices for enhanced mobility. In the medical domain, Cheng designed a self-decoupled wire-driven robotic universal joint for surgical and rehabilitation applications, and a robotic orthosis using bend sensors to prevent occupational musculoskeletal disorders. His work extends to aerial robotics, where he created a novice-friendly drone control system and a robotic landing system for UAVs on varied terrains. With over 28 total citations across his key publications, Cheng’s research is steadily gaining recognition for its practical impact on improving robot safety, usability, and accessibility in healthcare and everyday tasks.
Research Focus
Key Achievements
Top Papers
- 1A smart walker based on a hybrid motion model and machine learning method12 citations · 2023
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- 4Design of a Novice-Friendly Drone Control System3 citations · 2024
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