Papers
16
Total Citations
343
H-Index
10
About
Wenbin Chen is a robotics and biomedical engineering researcher whose work spans soft robotics, rehabilitation exoskeletons, prosthetic hand design, and neuromorphic computing. His research is united by a central ambition: bridging the gap between human biomechanical sophistication and robotic capability. Chen's most influential contribution, a 2019 study on bidirectional bending soft actuators integrated with optical waveguide sensors (107 citations), demonstrated how soft robots could achieve dexterous motion alongside proprioceptive sensing — a critical step toward safe human-robot interaction. His exoskeleton research, including a ten-degree-of-freedom rehabilitation robot and synergetic upper limb systems, addresses stroke recovery by replicating the complex shoulder rhythms and reaching movements essential to daily life. His 2021 dual-actuated robotic hand design showed that remarkable anthropomorphic grasping could be achieved with minimal actuation, an elegant engineering solution to a longstanding challenge. Beyond mechanical systems, Chen has explored movement generation algorithms grounded in human postural synergies and kinematic analysis of lower limb motion. His 2023 work on memristors for neuromorphic computing signals an expanding frontier, connecting intelligent hardware to humanoid robotics. Collectively, his publications reflect a researcher deeply committed to making robots move, sense, and think more like us.
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