Papers
6
Total Citations
21
H-Index
3
About
Hiroshi Asai is a pioneering researcher at the intersection of robotics, haptics, and motion intelligence. His work centers on three key areas: motion generation through physical property estimation, bilateral control for surgical robotics, and skill preservation via force/tactile sensation analysis. Asai’s most significant contribution is the development of the Motion Copy System (MCS), which reproduces human motions by integrating position and force control—a breakthrough with the potential to preserve professional skills and enable robots to adapt to minor environmental changes. His research on property estimation methods, validated through sequential and posteriori estimation, addresses the critical trade-off between accuracy and time in autonomous robot tasks. Asai has also advanced haptic surgical robots, introducing a novel two-degree-of-freedom tubular linear motor with disturbance modeling for safer teleoperation. With over 20 citations across his top papers, his work on obstacle avoidance motion planning and grinding motion analysis using force/tactile sensation further underscores his impact. Notably, his 2022 paper on motion generation remains his most cited, reflecting growing interest in skill transfer. Asai’s research is foundational for next-generation robots that learn, adapt, and collaborate with humans.
Research Focus
Key Achievements
Top Papers
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- 6Analysis of Grinding Motion using Force/Tactile Sensation1 citations · 2024