Manukid Parnichkun
Papers
31
Total Citations
497
H-Index
11
About
Manukid Parnichkun is a distinguished robotics and control systems researcher whose work spans autonomous robots, balancing systems, surgical robotics, and multi-robot coordination. Based at the Asian Institute of Technology, Parnichkun has made significant contributions to intelligent control methodologies, applying advanced techniques such as sliding mode control, neural networks, and particle swarm optimization (PSO) to complex robotic platforms. His most influential work — a 2011 study on industrial robot selection using hybrid decision-making methods (132 citations) — demonstrates his ability to bridge theoretical rigor with practical engineering challenges. His research portfolio showcases remarkable breadth: from neural network-based control for autonomous underwater robots and visual SLAM for mobile platforms, to the development of novel self-balancing systems including bicycle, unicycle, and ball-riding robots. His contributions to pneumatic surgical robot control and exoskeleton gait generation further highlight his commitment to human-assistive technologies. Parnichkun's early work on communication protocols for cooperative robot systems reflects a career-long interest in multi-agent robotics. With over 370 cumulative citations across diverse domains, his research consistently pushes the boundaries of autonomous systems, making him a notable figure in applied robotics and intelligent control engineering.
Research Focus
Key Achievements
Top Papers
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- 5Simultaneous Localization and Mapping with Stereo Vision28 citations · 2006
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- 8Development and control of a unicycle robot with double flywheels19 citations · 2016
- 9ZMP based gait generation of AIT's Leg Exoskeleton18 citations · 2010
- 10CDCSMA-CD communication method for cooperative robot systems15 citations · 1996