Papers

13

Total Citations

304

H-Index

9

About

Kefei Wen is a robotics researcher whose work sits at the intersection of parallel robotics, kinematic redundancy, and human–robot interaction. His most celebrated contribution is the development of backdrivable, kinematically redundant hybrid parallel robots — most notably the (6+3)-degree-of-freedom architecture — which elegantly sidesteps the singularity limitations that traditionally constrain parallel manipulators' orientational workspace. His 2020 paper on this design has garnered 99 citations, reflecting its significance to the field, while companion works on forward kinematics and analytical inverse kinematic solutions have further solidified the theoretical foundations of this robot class. Wen has also advanced practical applications of these systems, including sensorless physical human–robot interaction, grasping force control, and joint trajectory optimization. More recently, he has expanded his research frontier into parallel-continuum robots — a rapidly emerging hybrid domain — authoring a widely noticed 2024 survey (36 citations) and contributing modeling, singularity, and stiffness analyses for both planar and tendon-driven configurations. Spanning from a 2015 study on stiffness synthesis to cutting-edge continuum robotics, Wen's body of work demonstrates a consistent commitment to expanding robot workspace, improving safety, and bridging theoretical rigor with real-world deployability.

Research Focus

Key Achievements

9
H-Index
13
Papers
304
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
A Backdrivable Kinematically Redundant (6+3)-Degree-of-Freedom Hybrid Parallel Robot for Intuitive Sensorless Physical Human–Robot Interaction
99 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Université Laval, University of Toronto, Yeungnam University, University of British Columbia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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