Kai‐Chieh Chang
Papers
1
Total Citations
8
H-Index
1
About
Kai-Chieh Chang is a robotics researcher whose work centers on human-robot interaction, motion planning, and dual-arm robotic systems. His most notable contribution is the development of a Motion Imitation and Augmentation System for a six degrees of freedom dual-arm robot, which integrates an imitation system using RGB-D cameras and forward kinematics, a self-collision avoidance mechanism, and a motion augmentation framework. This system enables robots to replicate and enhance human motion in real time, advancing intuitive robot teaching and safe collaborative manipulation. With over 8 citations on this key paper, Chang’s research has practical implications for manufacturing, assistive robotics, and teleoperation. His work stands out for its elegant fusion of computer vision, kinematics, and safety-aware control, offering a scalable approach to robot learning from demonstration. By bridging human motion capture and robotic execution, Chang contributes to making robots more adaptable and user-friendly in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1