Tatsuya Tono
Papers
1
Total Citations
4
H-Index
1
About
Tatsuya Tono is a researcher in rehabilitation robotics, with a focus on human-robot interaction during gait training for hemiplegic patients. His work centers on understanding the nuanced dynamics between therapists and patients to improve robotic control systems for lateral pelvic motion. In his most-cited paper, "Analysis of interaction between therapist and hemiplegic patient for control of lateral pelvic motion during robotic gait training" (2013), Tono addresses critical limitations in conventional position-controlled robotic gait trainers. By analyzing therapist-patient interactions, he identifies key control strategies that could automate training more effectively, moving beyond rigid reference trajectories. Though his citation count is modest at 4, this work lays foundational insights for developing adaptive, patient-responsive robotic systems. Tono’s contributions are particularly valuable for researchers seeking to bridge the gap between clinical expertise and robotic automation, offering a human-centered approach to rehabilitation technology. His research underscores the importance of incorporating therapist intuition into robotic control algorithms, a step toward more natural and effective gait rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1