Papers
33
Total Citations
353
H-Index
11
About
Hiroshi Fujimoto is a distinguished researcher whose work spans mechatronics, robotics, and advanced control systems, with particular expertise in force/torque control, visual servoing, and motion control for robotic and vehicular systems. His research has made significant contributions to solving fundamental challenges in precision control, most notably in two-inertia systems where transmission mechanisms such as gear reducers introduce resonance and nonlinearity. His widely cited 2018 paper on joint torque control with backlash compensation (58 citations) exemplifies his ability to address real-world mechanical imperfections with elegant control solutions, while earlier work on multirate sampling control for visual servoing (44 citations, 2004) demonstrated his pioneering approach to intersample disturbance rejection in 6-DOF manipulators. Fujimoto's research extends meaningfully into humanitarian applications, including wearable knee rehabilitation instruments and human-support robotics, reflecting a consistent commitment to societal benefit. His investigations into in-wheel-motor electric vehicles further showcase his versatility across domains. Through foundational contributions to backdrivability, self-resonance cancellation observers, and soft-fingered robotic grasping, Fujimoto has established himself as a highly influential figure whose technically rigorous yet application-driven research continues to shape modern robotics and intelligent mechatronics.
Research Focus
Key Achievements
Top Papers
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- 6Force Control of In-Wheel-Motored Electric Vehicles16 citations · 2020
- 7Study of Wearable Knee Assistive Instruments for Walk Rehabilitation15 citations · 2012
- 8Joint torque control for backlash compensation in two-inertia system12 citations · 2016
- 9Proposal of high backdrivable control using load-side encoder and backlash12 citations · 2016
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