Papers
26
Total Citations
235
H-Index
9
About
Chih-Jer Lin is a distinguished robotics and automation researcher whose career spans over two decades of contributions to robot motion planning, intelligent control systems, and human-robot interaction. His early work on redundant robot motion planning, dating to the late 1990s, laid a foundation for addressing geometric singularities and task-priority challenges in robotic manipulators, a thread he continued refining through perturbation methods in his 2003 paper, which remains his most-cited work with 33 citations. Lin's research has evolved impressively to embrace modern challenges, including pneumatic artificial muscle-actuated manipulators controlled via sliding-mode algorithms and genetic algorithm-based parameter identification, as well as deep residual neural networks applied to industrial defect detection. Particularly noteworthy is his pioneering integration of brain-computer interfaces, virtual reality, and lower-limb rehabilitation exoskeletons, reflecting a compelling commitment to assistive and medical robotics. His automatic TCP calibration and vision-servo Delta robot work further demonstrate his practical impact on intelligent manufacturing systems. With publications spanning elite journals and consistent citation growth into the 2020s, Lin's interdisciplinary contributions — bridging control theory, machine learning, and rehabilitation engineering — make him a significant figure for researchers navigating the frontiers of intelligent robotics and human-centered automation.
Research Focus
Key Achievements
Top Papers
- 1Motion planning of redundant robots by perturbation method33 citations · 2003
- 2
- 3Deep Residual Neural Network-Based Defect Detection on Complex Backgrounds20 citations · 2022
- 4
- 5Automatic Calibration of Tool Center Point for Six Degree of Freedom Robot18 citations · 2023
- 6
- 7Vision servo based Delta robot to pick-and-place moving parts13 citations · 2016
- 8Motion planning of redundant robots12 citations · 1997
- 9A SLIDING MODE CONTROL APPROACH TO ROBOTIC TRACKING PROBLEM9 citations · 2002
- 10