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
Top Papers
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- 2Forward Kinematic Analysis of Kinematically Redundant Hybrid Parallel Robots36 citations · 2020
- 3Parallel-Continuum Robots: A Survey36 citations · 2024
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- 9Stiffness synthesis of 3-DOF planar 3RPR parallel mechanisms12 citations · 2015
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