Neng‐Sheng Pai
Papers
9
Total Citations
59
H-Index
6
About
Neng-Sheng Pai is a leading researcher in mobile robotics, specializing in control systems, autonomous navigation, and human-robot interaction. His work spans self-balancing two-wheeled robots, car-like autonomous parking systems, and underwater station-keeping, with a focus on practical, real-world applications. Pai’s most cited paper, "Robust Control Method Applied in Self-Balancing Two-Wheeled Robot" (2009, 13 citations), established his expertise in dynamics analysis and balance control for pollution-free, responsive robots. He further advanced autonomous parking with a fuzzy controller and AHP-based system (2014, 9 citations), and developed a PID controller for underwater robot depth control (2016, 8 citations). Pai’s innovative use of RFID and Viterbi algorithm-based HMM for speech recognition in tour guide robots (2014, 8 citations) and CMAC-based fall detection in omni-directional mobile robots (2013, 8 citations) demonstrates his commitment to assistive technology. His recent work on deep reinforcement learning for indoor navigation (2024) signals a shift toward AI-driven autonomy. With over 60 citations across his top papers, Pai’s contributions are foundational for students and researchers in intelligent robotics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1Robust Control Method Applied in Self-Balancing Two-Wheeled Robot13 citations · 2009
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- 3A PID controller for the underwater robot station-keeping8 citations · 2016
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- 7Following method for a car-like mobile robot using two IR sensors3 citations · 2014
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