Soichiro Hayakawa
Mie University, Toyota Technological Institute, Nagoya University
Papers
19
Total Citations
100
H-Index
6
About
Soichiro Hayakawa is a robotics researcher whose work spans human-robot interaction, autonomous mobile systems, and intelligent control. He is best known for his sustained investigation into **power assist robotics**, particularly systems designed to help humans lift heavy objects in industrial settings. His most influential contribution — a framework of design guidelines for power assist robots incorporating human weight perception into dynamics and control — has garnered 23 citations and established foundational principles for the field. Hayakawa's research is notably human-centric: across multiple studies, he systematically analyzed how humans perceive inertial versus gravitational forces during assisted lifting, translating these psychophysical and biomechanical insights into improved force control strategies. Beyond assistive robotics, his early work explored real-time action search for autonomous mobile robots using evolutionary strategies and Kullback-Leibler divergence-based information criteria — demonstrating a breadth that bridges classical AI and modern human-machine cooperation. His more recent investigation into impedance control for series elastic drive systems reflects continued relevance in compliant, collaborative robot design. With publications spanning over two decades, Hayakawa represents a steady, application-driven voice in robotics research focused on making human-robot collaboration safer, more intuitive, and more effective.
Research Focus
Key Achievements
Top Papers
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- 6A Real-Time Action Search for Autonomous Mobile Robot.6 citations · 1999
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