Tse Min Chen
Papers
19
Total Citations
476
H-Index
12
About
Tse Min Chen is a robotics and intelligent systems researcher whose work has significantly advanced the fields of mobile robot control, Internet-based teleoperation, and autonomous target tracking. His research centers on three interconnected domains: networked robotic systems, grey-fuzzy computational intelligence, and autonomous mobile navigation. Chen's most influential contribution is his development of multi-behavior architectures for mobile robots controlled via the Internet, earning 137 citations and establishing an important taxonomy for networked robot control. Recognizing that unpredictable network delays posed fundamental challenges to direct teleoperation, he pioneered supervisory control frameworks that allowed users to command robots remotely through standard web browsers—a forward-thinking approach for its era. Equally notable is his pioneering work on grey-fuzzy control algorithms for autonomous target tracking. By combining grey prediction theory with fuzzy logic, Chen eliminated the need for predefined dynamic models, making tracking systems more flexible and robust. This methodology accumulated over 140 additional citations across multiple publications and was notably extended to intelligent wheelchair systems, demonstrating real-world humanitarian applications for assisting severely handicapped individuals. With a career spanning foundational problems in robot autonomy and human-robot interaction, Chen's cumulative body of work reflects both technical ingenuity and a commitment to practical, impactful robotics research.
Research Focus
Key Achievements
Top Papers
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- 4Target tracking by grey prediction theory and look-ahead fuzzy logic control29 citations · 2003
- 5Intelligent autonomous mobile robot control through the Internet26 citations · 2002
- 6Remote supervisory control of an autonomous mobile robot via World Wide Web24 citations · 2002
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- 8Remote supervisory control of a sensor based mobile robot via Internet21 citations · 2002
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