Kimihiko Nakano

The University of Tokyo

Papers

2

Total Citations

12

H-Index

2

About

Kimihiko Nakano is a leading researcher in human–robot interaction and automotive safety, with a focus on shared control systems that bridge the gap between human drivers and automation. His work addresses a critical safety challenge: how to maintain effective collision avoidance when automated systems fail. In his highly regarded 2018 study, Nakano investigated a driver-automation shared control framework for forward collision avoidance during automation failure, demonstrating how cooperative interaction can resolve safety-critical problems in real-world driving scenarios. This research, which has garnered 5 citations, underscores the importance of designing robotic systems that adapt to human limitations. Nakano also contributed to the development of intuitive human–machine interfaces, as seen in his 2017 paper on a surface electromyography (sEMG)-based interface for steering a virtual car in a driving simulator, which has received 7 citations. By integrating physiological signals with vehicle control, his work paves the way for more responsive and safer automation. Nakano’s research is essential for students and engineers interested in the future of autonomous vehicles, human–robot collaboration, and fail-safe system design.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Implementation of a sEMG-Machine Interface for Steering a Virtual Car in a Driving Simulator
7 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: The University of Tokyo

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago