Toru MIZUYA

Papers

4

Total Citations

10

H-Index

2

About

Toru Mizuya’s research lies at the intersection of human-robot interaction, teleoperation, and assistive technology, with a focus on how visual information shapes remote perception and control. His work addresses a critical challenge: enabling operators—particularly persons with severe motor dysfunctions—to effectively control remote robots using limited visual cues. Mizuya’s key contributions include investigating how video stimuli influence the prediction of moving bodies in remote environments, and developing multi-view image merging and switching techniques to improve task efficiency and operator motivation. His studies on operation images for caregiver assistive tasks have advanced the concept of social participation support, allowing individuals with motor impairments to contribute meaningfully via teleoperated robots. With papers accumulating citations from 2019 to 2024, Mizuya’s impact is growing, particularly in the niche but vital area of inclusive robotics. His work not only enhances remote operation accuracy but also opens new pathways for employment and caregiving roles, making technology a bridge to empowerment for those with physical limitations.

Research Focus

Key Achievements

2
H-Index
4
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Study on predicted reaching position of moving body using video stimulus
4 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 7

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago