Potiwat Ngamkajornwiwat
King Mongkut's University of Technology Thonburi, Nanjing University of Aeronautics and Astronautics
Papers
7
Total Citations
78
H-Index
6
About
Potiwat Ngamkajornwiwat is a robotics researcher whose work sits at the intersection of bio-inspired locomotion control, adaptive neural systems, and educational innovation in technology. Drawing inspiration from nature's most agile creatures, his research focuses on developing intelligent control architectures that enable walking and climbing robots to navigate complex, unpredictable terrains autonomously. His most influential contribution — a bio-inspired adaptive locomotion control system published in 2020 (21 citations) — demonstrated how robots could dynamically adjust their gait without exhaustive parameter tuning or intensive machine learning pipelines. This work complements his gecko-robot research series, where he systematically advanced neural control strategies for gait generation and obstacle avoidance, accumulating over 28 citations across multiple publications. His use of artificial hormone mechanisms and central pattern generators reflects a sophisticated understanding of how biological systems achieve energy-efficient, adaptive movement. Beyond hardware robotics, Ngamkajornwiwat has shown a broader intellectual curiosity, exploring how arts and humanities can enrich STEAM education in Thailand (14 citations), advocating for creativity as a pillar of technological innovation in developing nations. Collectively, his body of work underscores a commitment to building smarter, more adaptable robotic systems while nurturing the next generation of interdisciplinary innovators.
Research Focus
Key Achievements
Top Papers
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- 4Neural Control for Gait Generation and Adaptation of a Gecko Robot12 citations · 2019
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