Papers

6

Total Citations

42

H-Index

4

About

Shotaro Gushi is a robotics researcher whose work centers on assistive technology and rehabilitation engineering, with a particular focus on developing robotic systems that restore independence to individuals with severe physical disabilities of the upper extremities. His most influential contribution, a 7-degree-of-freedom self-feeding assistive robotic arm (2020, 21 citations), demonstrated that human-like meal-assistance movements could be achieved through advanced kinematic modeling and simulation, setting a meaningful benchmark in the field. Building on earlier foundational work, Gushi developed mobile robotic arm platforms controlled through eye-movement interfaces, enabling users with profound motor impairments to perform tasks such as eating soup and transferring liquids with minimal physical input (2017). His research progressively advanced toward computational sophistication, producing inverse kinematics solvers and simulation environments that allow precise, adaptable arm trajectories tailored to individual users. He also pioneered HOG-based food detection algorithms to automate meal interaction, reducing reliance on manual control. More recently, Gushi has explored soft robotics, designing thermoplastic polyurethane robotic hands capable of grasping a diverse range of everyday objects (2022). With a growing citation record totaling over 40 references, his body of work represents a thoughtful and technically rigorous effort to translate robotics research into meaningful quality-of-life improvements for people with disabilities.

Research Focus

Key Achievements

4
H-Index
6
Papers
42
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
A Self-Feeding Assistive Robotic Arm for People with Physical Disabilities of the Extremities
21 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of the Ryukyus, University of the Ryukyus University Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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