Shotaro Nakagawa
Papers
12
Total Citations
220
H-Index
7
About
Shotaro Nakagawa is a robotics researcher whose work centers on assistive technology, human-robot interaction, and mobility rehabilitation engineering, with a particular focus on intelligent walking-aid systems for elderly and physically challenged individuals. His most significant contribution is the development of the intelligent cane robot (iCane), an omni-directional robotic platform equipped with multi-sensor arrays capable of estimating user walking intention, detecting fall risk in real time, and executing corrective motion control to prevent falls before they occur. Nakagawa's most cited work, "Fall Detection and Prevention Control Using Walking-Aid Cane Robot" (2015, 104 citations), established foundational methods combining biomechanical modeling—particularly Zero Moment Point (ZMP) and Center of Pressure (COP) stability theories—with adaptive admittance control strategies. His subsequent research addressed nuanced challenges such as tandem stance avoidance during turning and virtual friction modeling to reduce joint load on affected limbs, demonstrating a commitment to both safety and user comfort. Collectively accumulating over 200 citations, Nakagawa's body of work has meaningfully advanced the field of assistive robotics, offering practical engineering solutions to one of healthcare's most pressing challenges: enabling safe, independent mobility for aging and disabled populations.
Research Focus
Key Achievements
Top Papers
- 1Fall Detection and Prevention Control Using Walking-Aid Cane Robot104 citations · 2015
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- 4Optimal posture control for stability of intelligent cane robot19 citations · 2012
- 5Control of intelligent cane robot considering usage of ordinary cane10 citations · 2013
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- 10Virtual friction model for control of cane robot4 citations · 2015