Cota Nabeshima
The University of Tokyo, Cyberdyne (Japan), Preferred Networks (Japan)
Papers
12
Total Citations
204
H-Index
7
About
Cota Nabeshima is a pioneering researcher at the intersection of cognitive robotics, human-robot interaction, and wearable assistive technology. His work fundamentally explores how robots can develop adaptive body schemas—multisensory representations of the body that enable tool-use, imitation, and spatial perception. In his highly cited 2006 paper (70 citations), Nabeshima introduced a model for robotic tool-use based on adaptive body schema, demonstrating how robots can learn to treat tools as extensions of their own bodies. He further developed this concept in his 2007 work on "tool-body assimilation," proposing a computational model inspired by neuropsychology that explains how tools perceptually disappear from awareness through practice. Beyond cognitive robotics, Nabeshima has made significant contributions to the safety and standardization of wearable robots. He led the development of the Standard Performance Test for Wearable Robots for Lumbar Support (2018, 30 citations) and conducted critical risk assessments for the Robot Suit HAL, helping secure the world's first ISO/DIS 13482:2011 certificate for a wearable walking assistant robot. His work bridges fundamental cognitive science with practical engineering, advancing both our understanding of embodied intelligence and the real-world deployment of assistive robots.
Research Focus
Key Achievements
Top Papers
- 1Adaptive body schema for robotic tool-use70 citations · 2006
- 2Towards a model for tool-body assimilation and adaptive tool-use31 citations · 2007
- 3Standard Performance Test of Wearable Robots for Lumbar Support30 citations · 2018
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- 9Tool Shape Optimization through Backpropagation of Neural Network5 citations · 2020
- 10Risk Management for Wearable Walking Assistant Robot3 citations · 2014