Papers
5
Total Citations
21
H-Index
2
About
Baolin Feng is a robotics researcher whose work spans bio-inspired locomotion, rehabilitation robotics, and intelligent manipulation. His research centers on understanding and replicating animal movement principles to improve robotic systems, particularly in the areas of dynamic turning, flexible structures, and safe human-robot interaction. Feng's most notable contribution is his study of a free-falling cat robot, where he developed a multi-rigid-body dynamic model incorporating swing legs to achieve controlled turning motion—a paper that has garnered 9 citations and demonstrates his ability to translate biological phenomena into engineering solutions. He has also advanced the field of cable-driven parallel robots by combining neural networks with the Levenberg-Marquardt algorithm to solve complex forward kinematics problems (6 citations). In rehabilitation robotics, Feng designed a lower-limb exoskeleton with magnetorheological dampers to enhance patient safety and controllability. Additionally, his work on a 3D unfoldable mechanism inspired by the golden tree snake's spine showcases his innovative approach to bio-mimetic design. Through these diverse projects, Feng has established himself as a researcher who bridges biology and robotics to create more adaptive, safe, and capable machines.
Research Focus
Key Achievements
Top Papers
- 1Effect of swing legs on turning motion of a free-falling cat robot9 citations · 2017
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