Papers

2

Total Citations

6

H-Index

2

About

Shin Yamamoto is a pioneering researcher in robotics and biomedical engineering, whose work spans robust machine vision and rehabilitation robotics. His most influential contribution is the development of a vision system resilient to lighting variations, utilizing a wide-dynamic-range visual sensor to prevent image saturation. This innovation, detailed in his 1997 paper, enables reliable 2D positioning of industrial parts, a critical advancement for automated manufacturing. Though cited modestly, it laid foundational work in adaptive visual sensing. In parallel, Yamamoto has advanced rehabilitation technology by designing a gait training system driven by antagonistic mono- and bi-articular pneumatic muscle actuators (PMAs). His 2013 study introduces a contraction model to control these actuators, addressing the challenge of biarticular redundancy to generate powerful, coordinated movements for medical recovery. By integrating PMA control with biomechanical principles, Yamamoto enhances the safety and efficacy of robotic exoskeletons for gait rehabilitation. His dual focus on industrial vision and assistive robotics demonstrates a versatile commitment to solving real-world problems, from factory automation to human mobility restoration.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Robot vision robust to changes of lighting conditions using a wide-dynamic-range visual sensor
4 citations · 1997
📈 Most Prolific Year: 1997 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: National Institute of Technology, Toyota College, Shibaura Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago