Yu Ukai

The University of Tokyo

Papers

4

Total Citations

46

H-Index

3

About

Yu Ukai is a pioneering researcher in human-robot interaction, with a specialized focus on underwater robotics and sports performance support. His key research areas include buddy robot systems, underwater information presentation, and assistive technologies for athletic training. Ukai’s major contribution is the development of “Swimoid,” an underwater buddy robot designed to help swimmers—especially non-professionals—understand and improve their own performance through real-time feedback. This work addresses a critical gap in sports science: while swimming is a popular lifelong activity, most swimmers lack the tools to self-evaluate their technique. The Swimoid robot uses display technologies to present information directly in the underwater environment, enabling intuitive interaction between human and machine. Ukai’s most cited paper, “Swimoid” (2013), has garnered 33 citations, underscoring its influence in the emerging field of underwater human-robot interaction. He has also published multiple related studies exploring the methodology of robot-to-human communication in aquatic settings. By bridging robotics, sports science, and user-centered design, Ukai’s work offers a novel approach to making athletic training more accessible and data-driven, with potential applications in rehabilitation, coaching, and recreational swimming.

Research Focus

Key Achievements

3
H-Index
4
Papers
46
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Swimoid
33 citations · 2013
📈 Most Prolific Year: 2013 (4 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: The University of Tokyo

Top Papers

  1. 1
    Swimoid
    33 citations · 2013
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago