Sohei Wakisaka
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
Top Papers
- 1Naviarm32 citations · 2019
- 2Dynamic Motor Skill Synthesis with Human-Machine Mutual Actuation18 citations · 2020
- 3
- 4