Nano Shioda

Keio University

Papers

1

Total Citations

9

H-Index

1

About

Nano Shioda is a pioneering researcher at the intersection of materials science and robotics, whose work focuses on developing novel sensing technologies for friction visualization and motion analysis. Their most notable contribution is the creation of a highly sensitive friction-imaging device based on cascading stimuli responsiveness, published in 2023 and already garnering 9 citations. This breakthrough enables the quantitative visualization of weak friction forces—a challenge that previously limited the application of motion-copying systems in robotics. By capturing and analyzing the subtle frictional signatures of professional movements, Shioda’s device paves the way for robots to replicate complex human motions with unprecedented fidelity. This work holds transformative potential for fields ranging from teleoperation and haptics to sports science and rehabilitation. Shioda’s research elegantly bridges fundamental material responsiveness with practical engineering, offering a new lens through which to study and reproduce the nuanced physics of touch and motion. Their achievements mark a significant step toward more intuitive human-robot interaction.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A highly sensitive friction-imaging device based on cascading stimuli responsiveness
9 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Keio University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago