Chin‐Wang Tao

National Ilan University

Papers

9

Total Citations

152

H-Index

6

About

Chin-Wang Tao is a robotics and control systems researcher whose work spans intelligent control, multi-robot coordination, and autonomous systems. He is best known for his pioneering contributions to fuzzy sliding-mode control frameworks applied to complex robotic environments, particularly his highly cited 2011 paper on fuzzy sliding-mode formation control for multirobot systems, which has garnered over 100 citations and established a foundational approach to decentralized formation control under external disturbances and system uncertainties. Tao's research consistently addresses the challenge of making multi-robot systems robust and adaptive. His work on fault-tolerant control, adaptive dynamic surface methods, and terminal sliding-mode techniques demonstrates a commitment to handling real-world imperfections such as actuator failures and time delays. He has extended these ideas into bilateral teleoperation and mobile manipulator systems, broadening the practical relevance of his theoretical contributions. Beyond multi-agent coordination, Tao has explored vision-based obstacle detection and humanoid robot cooperation, reflecting an interest in bridging perception and control. His 2022 work on biped robot cooperation for transportation tasks exemplifies this interdisciplinary reach. Collectively, his research has shaped robust intelligent control strategies for autonomous robotic systems, making him a notable contributor to the field of applied fuzzy and sliding-mode control theory.

Research Focus

Key Achievements

6
H-Index
9
Papers
152
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy Sliding-Mode Formation Control for Multirobot Systems: Design and Implementation
103 citations · 2011
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: National Ilan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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