Yasunobu Imada
Papers
3
Total Citations
99
H-Index
3
About
Yasunobu Imada is a robotics researcher specializing in human-machine interaction, rehabilitation engineering, and intelligent control systems, with a particular focus on power-assist exoskeleton technology. His work centers on developing robotic systems that enhance the physical capabilities of elderly, injured, and disabled individuals by translating muscle signals into assistive mechanical motion. Imada's most significant contribution is his pioneering work on electromyogram (EMG)-based neuro-fuzzy control systems for exoskeleton robots. His 2007 paper on a 4DOF upper-limb power-assist exoskeleton — which garnered 61 citations — demonstrated how EMG signals could be harnessed to control robotic assistance across shoulder, elbow, and forearm movements with remarkable precision and responsiveness. Building on this foundation, his 2009 work extended these principles to lower-limb exoskeletons, accumulating 34 citations and broadening the scope of accessible assistive technologies for daily activities. What distinguishes Imada's research is its strong emphasis on user-centered design — ensuring that assistive robots respond directly to a user's movement intentions rather than imposing pre-programmed motion patterns. His intelligent control frameworks represent meaningful advances in making rehabilitation robotics more adaptive, intuitive, and practically viable for vulnerable populations.
Research Focus
Key Achievements
Top Papers
- 1EMG-Based Neuro-Fuzzy Control of a 4DOF Upper-Limb Power-Assist Exoskeleton61 citations · 2007
- 2EMG-based control for lower-limb power-assist exoskeletons34 citations · 2009
- 3Intelligent Control of a 4DOF Upper-Limb Motion Assist Robot4 citations · 2006