Papers

4

Total Citations

24

H-Index

3

About

Sarun Chattunyakit is a pioneering researcher in bio-inspired robotics and educational technology, whose work bridges the gap between resilient robot design and human-centered learning. His primary research areas include self-recovery mechanisms for legged robots, swarm robotics foraging algorithms, and the integration of robotics into computational thinking education. Chattunyakit’s most impactful contribution is his 2019 study on a bio-inspired quadruped robot capable of self-recovery with a limited number of functional legs, which has garnered 12 citations and introduced novel control strategies for damaged robots. He also developed two foraging algorithms for swarm robots with limited numbers, earning 5 citations by mimicking ant behavior for applications in harvesting and rescue missions. Notably, his 2024 work on enhancing computational thinking through robotics and scenario-based learning has already attracted 4 citations, reflecting its timely relevance. Additionally, his 2015 research on acoustic-based joint fault diagnosis for legged robots, with 3 citations, showcases his innovative approach to preventing system failures. Chattunyakit’s work not only advances autonomous robot resilience but also empowers the next generation of learners, making him a key figure in both robotics and STEM education.

Research Focus

Key Achievements

3
H-Index
4
Papers
24
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Bio-Inspired Structure and Behavior of Self-Recovery Quadruped Robot with a Limited Number of Functional Legs
12 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Hokkaido University, Thammasat University, Rajamangala University of Technology Isan

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago