Hsien-Ting Chang
Papers
2
Total Citations
6
H-Index
2
About
Hsien-Ting Chang is a researcher at the forefront of rehabilitation and soft robotics, with a primary focus on developing intelligent, assistive technologies for impaired populations. His work centers on the modeling, sensing, and control of cable-driven and soft robotic systems, particularly for hand exoskeletons. A major contribution is his pioneering approach to force estimation without traditional force gauges, as demonstrated in his 2024 work on IMU-enabled robotic fingers. By leveraging inertial measurement units and virtual linkages, Chang has created a method to accurately calculate joint torques and forces in soft actuators, addressing a critical limitation in the field. His foundational 2015 paper on tension force measurement for cable-driven hand exoskeletons, which has garnered 4 citations, laid the groundwork for more precise and responsive rehabilitation devices. With a growing citation impact, Chang’s research is directly motivated by the shortage of physical therapists and the need for scalable, sensor-rich robotic aids. His innovative integration of soft actuators with advanced sensing promises to make robotic rehabilitation more accessible and effective, marking him as a key contributor to the next generation of human-centered robotics.
Research Focus
Key Achievements
Top Papers
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- 2