Che-Ming Chang
Papers
13
Total Citations
139
H-Index
7
About
Che-Ming Chang is a leading researcher in soft and adaptive robotics, specializing in the design of compliant, pneumatically driven grippers and hands for unstructured environments. Their major contributions include pioneering the use of structural compliance beyond traditional joints and finger-pads, developing novel pneumatic telescopic actuators for soft and hybrid grippers, and creating accessible, open-source dexterity tests to quantify grasping and manipulation capabilities in both humans and robots. With over 130 citations across their top ten papers, Chang’s work has significantly advanced adaptive manipulation, notably through the ARoA autonomous robotic assistant platform and an affordable, humanlike arm-hand system for tactile American Sign Language communication with deafblind individuals. Their research also integrates sensor-based tracking, such as IMU and ArUco markers, to decode contact forces in adaptive hands, bridging the gap between compliant design and precise control. Chang’s commitment to affordability and accessibility—exemplified by low-cost dexterity benchmarks and assistive technologies—makes their work highly influential for students and researchers seeking to develop practical, inclusive robotic solutions for real-world applications.
Research Focus
Key Achievements
Top Papers
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