Papers

2

Total Citations

28

H-Index

2

About

Yoshihiro Yoshihara is a researcher whose work lies at the intersection of robotics, biological regulation, and emergent intelligence. His primary research areas include bipedal locomotion, tacit learning, and the development of adaptive systems that mirror biological regulatory mechanisms. Yoshihara’s major contributions challenge conventional machine-learning paradigms by demonstrating how adaptability arises not from complex algorithms, but from simple, homogeneous computational media interacting dynamically with the environment. His most cited paper, "Adaptability of Tacit Learning in Bipedal Locomotion" (2013, 23 citations), explores how biological systems learn to adapt to unknown environments through embodied interactions, a stark departure from current artificial intelligence approaches. Another notable work, "Emergence of bipedal walking through body/environment interactions" (2010, 5 citations), further illustrates how walking patterns can emerge spontaneously from physical interactions rather than explicit programming. Though his citation counts are modest, Yoshihara’s research is conceptually influential, offering a foundational perspective for students and researchers interested in bio-inspired robotics, embodied cognition, and the principles of self-organization. His work serves as a compelling reminder that true adaptability may require rethinking computation itself.

Research Focus

Key Achievements

2
H-Index
2
Papers
28
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Adaptability of Tacit Learning in Bipedal Locomotion
23 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Toyota Motor Corporation (Switzerland), RIKEN Center for Brain Science

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago