Papers

2

Total Citations

9

H-Index

2

About

Junji Matayoshi is a researcher whose work sits at the intersection of assistive robotics and rehabilitation engineering, with a focus on developing technological solutions for individuals with upper extremity disabilities. His most recognized contribution centers on the design and simulation of a self-feeding assistive robotic arm — a 7-degree-of-freedom (7-DOF) system capable of helping people with limited arm mobility perform essential daily tasks such as eating and drinking independently. Matayoshi's primary methodological innovation lies in his application of inverse kinematics to robotic arm control, utilizing an arm angle parameter to solve complex positional equations and enable natural, human-like movement in the robotic system. By developing a simulator environment, his research allows for safe testing and refinement of assistive robotic behavior before real-world deployment — a critical step in translating engineering advances into practical rehabilitation tools. His work, cited across multiple publication venues between 2020 and 2021, has begun attracting attention within the assistive technology and human-robot interaction communities. While still building his citation profile, Matayoshi's research addresses a deeply meaningful challenge — restoring autonomy and dignity to individuals with physical disabilities — positioning him as a thoughtful contributor to the growing field of socially motivated robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Self‐feeding assistive 7‐DOF robotic arm simulator using solving method of inverse kinematics
5 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of the Ryukyus, University of the Ryukyus University Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 0 days ago