Hiroshi Okajima
Papers
7
Total Citations
39
H-Index
4
About
Hiroshi Okajima is a robotics and control systems researcher whose work sits at the intersection of human-robot interaction, soft actuator control, and autonomous mobility. His research is driven by a central question: how can robots operate safely and intelligently alongside humans? Okajima has made notable contributions to the control of McKibben-type pneumatic artificial muscles (PAMs), developing robust variable stiffness control methods using multiple model error compensators — work that addresses the fundamental compliance-performance trade-off inherent in soft actuators. Equally distinctive is his pioneering research into robotic pain perception, where he modeled human skin's layered structure to emulate both fast and slow pain responses using multi-layer sensor systems, advancing the capacity for robots to recognize potentially harmful physical interactions. This body of work, spanning publications from 2010 onward, has accumulated citations that reflect its relevance to emerging human-robot coexistence frameworks. Beyond biological modeling, Okajima has contributed practical control solutions, including signal limitation filters for velocity and acceleration constraints and cooperative multi-robot transport systems employing suction-based gripping. His more recent editorial work on autonomous mobility navigation further demonstrates his broadening influence across the robotics field, making him a versatile figure in both theoretical and applied robotics research.
Research Focus
Key Achievements
Top Papers
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- 2Pain perception model of human skin using multiple pain sensors8 citations · 2010
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- 7Signal Limitation Filter to Satisfy Velocity and Acceleration Limits2 citations · 2018