Masaya Nobe
Papers
10
Total Citations
101
H-Index
5
About
Masaya Nobe is a robotics researcher whose work sits at the intersection of human-robot interaction, assistive robotics, and psychophysics. His research has focused primarily on the design and control of power assist robots for lifting objects, with a particular emphasis on understanding how humans perceive weight during assisted manipulation. Nobe's most significant contribution lies in his rigorous investigation of the perceptual gap between actual and perceived object weight when using power assist systems — a subtle but critical challenge for safe and intuitive human-robot collaboration. Across a series of influential studies published between 2009 and 2010, Nobe and colleagues developed a 1-DOF power assist robot and systematically explored how inertial and gravitational forces differently shape human weight perception under unimanual, bimanual, and cooperative lifting conditions. These psychophysical insights directly informed his control strategies, allowing the robot to compensate for faulty load force programming that arises when operators unknowingly apply excessive force. His work, accumulating over 100 citations collectively, has provided practical design guidelines for industrial power assist systems aimed at improving human-robot interaction ergonomics. Nobe's research remains a valuable reference for engineers and cognitive scientists developing next-generation assistive robotics for physically demanding workplaces.
Research Focus
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Top Papers
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