Yoshihiko Kawazoe

Saitama Institute of Technology

Papers

10

Total Citations

27

H-Index

3

About

Yoshihiko Kawazoe is a robotics researcher whose work centers on autonomous robot intelligence, humanoid locomotion, and the intersection of human dexterity with complex systems theory. His most significant contributions revolve around the development of "Human-Robotics," a philosophy proposing that robots and engineers should co-evolve through real-world collaboration, drawing inspiration from the natural dexterity of living creatures. Kawazoe is perhaps best known for his work on the humanoid biped robot GENBE, which demonstrated remarkable locomotion capabilities — including the culturally distinctive NANBA walking and running gait, stair navigation, and movement across ice and snow — all achieved through distributed physical body control and an unconventional Anti-ZMP approach that embraces instability rather than suppressing it. His chaos-entropy analysis of human operator skill acquisition further bridges neuroscience and robotics, exploring how individuality and proficiency emerge in neural controllers. Kawazoe has also contributed to robotics education, developing project-based learning curricula grounded in subsumption architecture. With citations spanning from 2002 to 2011, his body of work, though modest in citation volume, offers genuinely distinctive perspectives on emergent intelligence and bio-inspired robot design that challenge mainstream control paradigms.

Research Focus

Key Achievements

3
H-Index
10
Papers
27
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Chaos-Entropy Analysis and Acquisition of Individuality and Proficiency of Human Operator's Skill Using a Neural Controller
5 citations · 2008
📈 Most Prolific Year: 2008 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Saitama Institute of Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago