Papers
12
Total Citations
132
H-Index
7
About
Handdeut Chang is a robotics and mechatronics researcher whose work sits at the intersection of wearable robotics, soft actuation, and biomechanically inspired control systems. Drawing deeply from musculoskeletal principles, Chang has made significant contributions to the development of variable stiffness actuators and mechanisms that enable robots to operate safely and adaptively alongside humans. His 2018 work on portable pneumatic power sources (28 citations) addressed a critical bottleneck in wearable robotic systems by freeing them from stationary compressors, while his research on snake-like flexible surgical robots with SMA-based stiffness modulation (27 citations) demonstrates his reach into minimally invasive medical robotics. Chang's feedforward motion control framework inspired by muscle cross-bridge kinematics (20 citations) offers an elegant solution to the longstanding challenge of stable robot control without high-bandwidth feedback. His broader body of work explores phase-change materials for stiffness modulation, optical torque sensing for safe human-robot interaction, and high-density surface EMG sensing for intuitive robot interfaces. Collectively accumulating over 120 citations, Chang's research consistently bridges biological inspiration with practical engineering, making him a noteworthy contributor to the next generation of compliant, human-centered robotic systems.
Research Focus
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Top Papers
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- 10Design of a Flexible High-Density Surface Electromyography Sensor5 citations · 2020