Kittisak Sanprasit
Papers
3
Total Citations
13
H-Index
2
About
Kittisak Sanprasit is a robotics researcher whose work focuses on the locomotion and balance control of humanoid robots, particularly in challenging and dynamic environments. His key research areas include multi-objective optimization, bio-inspired algorithms, and bipedal stability. Sanprasit’s major contributions center on the application of the Whale Optimization Algorithm (WOA) to solve complex, multi-objective problems in humanoid robotics. Notably, his 2020 paper on using a multi-objective WOA for balance recovery has garnered 7 citations, demonstrating its relevance in the field. He has also extended this approach to enable humanoid robots to walk and carry objects on inclined planes (4 citations) and to traverse narrow beams (2 citations). These works are significant for advancing the practical deployment of humanoid robots in real-world, uneven terrains. Sanprasit’s research bridges nature-inspired computation and robotic control, offering novel solutions for stability and adaptability. His achievements highlight a promising trajectory in the development of more resilient and versatile humanoid systems.
Research Focus
Key Achievements
Top Papers
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