Katsuyuki Sagayama

Papers

4

Total Citations

53

H-Index

3

About

Katsuyuki Sagayama is a robotics researcher whose work centers on assistive technology for visually impaired and elderly populations, with a particular focus on developing intelligent guidance systems that enhance mobility and independence. His most significant contribution is the creation and iterative refinement of LIGHBOT, a hospital-navigating guidance robot designed to help visually impaired and elderly individuals move safely through complex environments such as large medical facilities. Sagayama's research trajectory demonstrates a methodical, application-driven approach: beginning with foundational system design and velocity reference generation in 2014, he progressively refined the robot through real-world demonstration examinations conducted at Kanagawa Rehabilitation Hospital in Japan. A notable technical innovation in his work is the intuitive force-sensor interface grip, which allows users to interact with the robot naturally while the system simultaneously monitors position and behavior. His comparative studies showing LIGHBOT's advantages over traditional white cane navigation have been particularly influential. His publications have collectively accumulated over 50 citations, reflecting meaningful engagement from the assistive robotics and rehabilitation engineering communities. For students and researchers exploring human-robot interaction in healthcare settings, Sagayama's work offers a compelling model of purpose-driven engineering that directly addresses real-world accessibility challenges.

Research Focus

Key Achievements

3
H-Index
4
Papers
53
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Examination of a Guidance Robot for Visually Impaired People
24 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago