Shih-Chuan Kuo
Papers
1
Total Citations
4
H-Index
1
About
Shih-Chuan Kuo is a robotics researcher whose work centers on human-robot interaction, motion imitation, and humanoid robotics. His most cited study, "Dynamic imitation of human motion for humanoid robot" (2017), demonstrates a pioneering approach to enabling robots to replicate human movements in real time. By integrating the Kinect v2 sensor to capture human skeleton joints and wirelessly transmitting this data to a DARwIn-OP humanoid robot, Kuo developed a system that allows robots to perform complex imitation tasks with dynamic accuracy. This contribution bridges the gap between human motion sensing and robotic actuation, offering a practical framework for applications in assistive robotics, entertainment, and rehabilitation. Although his citation count is modest, Kuo’s work is notable for its hands-on, experimental methodology and its focus on accessible, off-the-shelf hardware. His research underscores the potential for low-cost, scalable solutions in humanoid robotics, making him a valuable contributor to the field of interactive autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Dynamic imitation of human motion for humanoid robot4 citations · 2017