Sohei Wakisaka

The University of Tokyo, Keio University

Papers

4

Total Citations

57

H-Index

3

About

Sohei Wakisaka is a pioneering researcher at the intersection of human-robot interaction, motor skill augmentation, and collaborative artificial intelligence. His work fundamentally explores how robotic systems can enhance, transfer, and synthesize human physical abilities. Wakisaka’s most impactful contribution is the development of "Naviarm" (32 citations), a wearable haptic assistance system that records and transfers expert arm motion trajectories to a novice, enabling offline motor learning. He further advanced this field with "Human-Machine Mutual Actuation (HMMA)" (18 citations), a novel framework for coupling robotic actuation with human skill in dynamic tasks like throwing, where precise computational control of release timing augments natural ability. More recently, Wakisaka has investigated the social dynamics of collaborative avatar manipulation, exploring how partners are recognized during shared control. His forward-looking work includes "INDRA," an interactive deep-dreaming robotic artist that embodies real-time AI for creative expression. By blending robotics, haptics, and cognitive science, Wakisaka is redefining the boundaries of human capability and collaborative machine intelligence.

Research Focus

Key Achievements

3
H-Index
4
Papers
57
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Naviarm
32 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: The University of Tokyo, Keio University

Top Papers

  1. 1
    Naviarm
    32 citations · 2019
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago