Chih‐Min Lin
Papers
15
Total Citations
300
H-Index
11
About
Chih-Min Lin is a leading figure in intelligent control systems, with a primary focus on robotic applications, particularly biped robots, humanoid robots, and mobile manipulators. His major contributions lie in the development of advanced neural network controllers, most notably the Recurrent Cerebellar Model Articulation Controller (RCMAC) and the integration of emotional learning models like the Brain Emotional Learning (BEL) system with fuzzy logic. His 2007 paper on robust fault-tolerant control for biped robots, which introduced a novel RCMAC-based scheme to rectify nonlinear faults, has garnered 62 citations and stands as a cornerstone of his work. Lin has also pioneered creative applications, such as using Generative Adversarial Networks (GANs) for a Chinese calligraphy robot, demonstrating a unique blend of art and engineering. With over 200 citations across his top ten papers, his research has profoundly impacted the fields of adaptive control, fault tolerance, and human-robot interaction. His work is essential reading for anyone interested in the next generation of resilient, emotionally intelligent, and artistically capable robotic systems.
Research Focus
Key Achievements
Top Papers
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- 6Hybrid adaptive fuzzy controllers with application to robotic systems23 citations · 2003
- 7GANCCRobot: Generative adversarial nets based chinese calligraphy robot21 citations · 2019
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- 10A Mixed Gaussian Membership Function Fuzzy CMAC for a Three-Link Robot11 citations · 2020