Yushi Wang

Waseda University, Tsinghua University

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

7
H-Index
12
Papers
86
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of Series Clutch Actuators With a High Torque-to-Weight Ratio for Open-Loop Torque Control and Collision Safety
14 citations · 2017
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Waseda University, Tsinghua University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago