M. Nakamura
Papers
4
Total Citations
89
H-Index
3
About
M. Nakamura is a robotics and control systems researcher whose work spans humanoid robotics, assistive technology, and servo control. His most influential contribution, "Dynamical balance of a humanoid robot grasping an environment" (2005, 74 citations), introduced a linear programming approach to formulate necessary conditions for balance when a humanoid robot grasps its surroundings—a foundational insight for stable locomotion and manipulation in humanoid robotics. In assistive robotics, Nakamura explored human-robot interaction through surface electromyography (EMG) signals, demonstrating in a 2007 study (8 citations) that EMG power from four channels could be encoded into commands for meal assistance robots, paving the way for intuitive, muscle-driven control systems. Earlier work includes a feedforward compensator design using pole assignment regulators (2002, 4 citations) and a theoretical derivation of required sampling rates for continuous contour control in industrial robots (1992, 3 citations). Collectively, Nakamura’s research bridges theoretical control methods with practical applications in humanoid balance and assistive devices, contributing to safer, more responsive robotic systems that interact with both environments and human users.
Research Focus
Key Achievements
Top Papers
- 1Dynamical balance of a humanoid robot grasping an environment74 citations · 2005
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