Yasunori Kose

About

Yasunori Kose is a robotics researcher specializing in assistive exoskeleton technology, with a particular focus on upper-limb power-assist systems designed to support individuals with physical limitations in rehabilitation and daily living activities. His most significant contribution to the field is the development and refinement of "perception-assist," an innovative framework that extends traditional exoskeleton functionality beyond simple motion support to enhance a user's ability to interact meaningfully with their environment. By incorporating intelligent force vector modification and visual information processing, Kose's systems can estimate a user's intended task — even identifying tools or objects being handled — and adapt assistance accordingly. His 2010 paper on task-oriented perception-assist stands as his most impactful work, accumulating 15 citations and establishing a conceptual foundation that subsequent research in the area has built upon. Across his body of work, totaling over 30 citations, Kose has consistently pushed toward smarter, context-aware robotic assistance. His research is particularly relevant for engineers and clinicians interested in next-generation rehabilitation robotics, where intuitive human-machine collaboration is essential for improving the quality of life of users with motor impairments.

Research Focus

Key Achievements

Top Papers

1. 1
   An upper-limb power-assist exoskeleton robot with task-oriented perception-assist

   15 citations · 2010
2. 2
   Task-oriented perception-assist for an upper-limb powerassist exoskeleton robot

   8 citations · 2010
3. 3
   Intelligent perception assist with optimum force vector modification for an upper-limb power-assist exoskeleton

   6 citations · 2008
4. 4
   C-2 An upper-limb power-assist system with perception-assist in accordance with a handling tool and movement

   3 citations · 2010

Key Collaborators

Contact & Links