Yushi Wang
Papers
12
Total Citations
86
H-Index
7
About
Yushi Wang is a robotics researcher whose work spans human-robot interaction, soft sensing, and safe actuation. A central theme in Wang’s research is enabling robots to operate safely and intelligently alongside humans, particularly in caregiving and rehabilitation contexts. Wang’s most cited paper (14 citations) introduces series clutch actuators with a high torque-to-weight ratio, enabling open-loop torque control and collision safety—a critical contribution for robots that must interact physically with people. Building on this, Wang has explored friction-based clutches as adjustable torque limiters (7 citations) to further enhance safety. In soft robotics, Wang pioneered the use of Permanent Magnetic Elastomer (PME) sheets for 3-axis force estimation (10 citations) and developed a tactile sensor with adjustable compliance and sensitivity (4 citations). A recent innovation, the Halbach array PME sensor (3 citations), reduces crosstalk between adjacent sensors, improving dexterous manipulation. Wang’s work also extends to humanoid control: a biomimetic approach for 7-DOF robotic arms (10 citations) and skeleton-recognition-based motion generation for in-home rehabilitation (12 citations) demonstrate a commitment to practical, human-centered robotics. With over 80 total citations and a growing portfolio of sensor and actuator designs, Wang is advancing the frontier of safe, perceptive, and adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4CBMC: A Biomimetic Approach for Control of a 7-Degree of Freedom Robotic Arm10 citations · 2023
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