Papers
6
Total Citations
17
H-Index
3
About
Takumi Kawamura’s research focuses on human-robot interaction, teleoperation interfaces, and assistive technology for individuals with severe motor dysfunctions. His central contribution lies in designing and validating visual interfaces—particularly stereo matching and multi-view image merging—that improve depth perception, task efficiency, and operator comfort during remote robot control. By analyzing how video stimuli and camera parameters affect operators’ ability to predict motion and perceive remote environments, Kawamura has systematically reduced the cognitive load and annoyance associated with teleoperation. His work directly addresses the challenge of enabling people with disabilities to participate in caregiver support and employment tasks through teleoperated robots. With several papers accumulating 4 citations each, his most cited studies establish foundational insights into stereo camera effects and image-based depth prediction. Notably, his 2023 and 2024 papers extend this research into practical support functions for merging and switching multi-view images, balancing task motivation with efficiency. Kawamura’s research is driven by a clear social mission: to create inclusive remote work opportunities for those with mobility limitations, making his work both technically rigorous and deeply human-centered.
Research Focus
Key Achievements
Top Papers
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- 2Study on predicted reaching position of moving body using video stimulus4 citations · 2019
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