Yuki Toyonaga

Papers

1

Total Citations

4

H-Index

1

About

Yuki Toyonaga is a researcher in rehabilitation robotics, with a primary focus on human-robot interaction during gait training for hemiplegic patients. Their key research areas include robotic gait rehabilitation, biomechanical analysis of pelvic motion, and therapist-patient interaction dynamics. Toyonaga’s most cited work, "Analysis of interaction between therapist and hemiplegic patient for control of lateral pelvic motion during robotic gait training" (2013, 4 citations), explores the challenges of automating gait training by examining how therapists manually guide patients’ lateral pelvic movements. This study identifies critical limitations in position-control-based robotic systems, which often fail to adapt to individual patient needs. By analyzing the nuanced interaction between therapist and patient, Toyonaga contributes to the development of more responsive, patient-specific robotic controllers that could enhance rehabilitation outcomes. Though their citation count is modest, this work represents an important step toward bridging the gap between manual therapy and automated robotic assistance. Toyonaga’s research is particularly valuable for students and engineers designing next-generation rehabilitation robots that prioritize natural, adaptive human-robot collaboration over rigid trajectory tracking.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Analysis of interaction between therapist and hemiplegic patient for control of lateral pelvic motion during robotic gait training
4 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 10

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago