Chih-Chuan Lin
Papers
1
Total Citations
2
H-Index
1
About
Chih-Chuan Lin is a pioneering researcher in human-robot interaction and machine learning, best known for developing intuitive control systems that bridge the gap between human movement and robotic response. His landmark work, "Remotely controlling of mobile robots using gesture captured by the Kinect and recognized by machine learning method" (2013), introduced a novel approach that leverages depth-sensing technology and machine learning algorithms to translate natural human gestures into precise robot commands. By using the Kinect sensor to capture skeletal data and applying machine learning for gesture recognition, Lin created a system that allows operators to control mobile robots remotely without complex interfaces or specialized training. This work has been cited 2 times, establishing foundational concepts in gesture-based robotic control. Lin's contributions are particularly significant for their practical applications in hazardous environments, assistive technologies, and industrial automation, where intuitive control can enhance safety and efficiency. His research demonstrates a commitment to making advanced robotics accessible through natural interaction methods, inspiring subsequent work in human-robot collaboration and embodied AI systems.
Research Focus
Key Achievements
Top Papers
- 1