Jettanan Homchanthanakul
Papers
9
Total Citations
143
H-Index
8
About
Jettanan Homchanthanakul is a robotics researcher whose work sits at the intersection of bio-inspired locomotion control, adaptive neural systems, and energy-efficient robot design. Drawing inspiration from biological organisms, his research focuses on enabling autonomous walking robots to navigate complex, unpredictable terrains through continuous online adaptation — a challenge of significant importance in real-world robotics deployment. His most influential contributions include developing bioinspired adaptive neuroendocrine control systems that allow walking robots to proactively avoid obstacles and dynamically adjust locomotion strategies without intensive parameter tuning or offline training. With his most-cited work accumulating 35 citations and multiple papers exceeding 20 citations, his research has garnered meaningful attention within the field. Notable among his contributions is pioneering work on Fin Ray-structured robot feet, which investigates crossbeam angle optimization for energy-efficient locomotion, alongside electromagnetic soft-toe feet for pipe-crawling robots. He has also explored tribological surfaces, such as shark skin-inspired friction anisotropy, to improve legged robot performance. Beyond hardware, Homchanthanakul has developed NeuroVis, a real-time neural visualization tool aimed at demystifying embodied neural control systems. His integrative approach — combining mechanical design, neural control, and biological principles — positions him as an emerging voice in intelligent, adaptive robotics research.
Research Focus
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Top Papers
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