Papers
28
Total Citations
535
H-Index
15
About
Chi-Yi Tsai is a leading researcher in robotics and computer vision, whose work bridges the gap between intelligent perception and autonomous control. His primary research areas include visual servo control, mobile robot navigation, and 3D object recognition for robotic manipulation. Tsai’s major contributions are exemplified by his pioneering hybrid switched reactive-based visual servo control for 5-DOF manipulators, which eliminates the need for complex inverse interaction matrix computations, and his deep learning approaches for simultaneous object recognition and pose estimation from RGB-D data—enabling robust random object picking. His highly cited papers, such as those on fast parking control for mobile robots (44 citations) and mapless LiDAR navigation using deep imitation learning (33 citations), demonstrate his impact on practical, real-world robotics. With over 365 total citations across his top works, Tsai has also advanced visual tracking systems that handle image noise, occlusion, and velocity quantization. Notably, his integration of semantic segmentation for object re-orientation and his robust face tracking control using Kalman filters and echo state networks highlight his versatility. Tsai’s research continues to shape the future of autonomous systems, making him a key figure for students and researchers interested in vision-based robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Simultaneous 3D Object Recognition and Pose Estimation Based on RGB-D Images53 citations · 2018
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10