Sho Nagashima
Papers
1
Total Citations
26
H-Index
1
About
Sho Nagashima is a leading researcher in motor control and robotics, whose work bridges computational neuroscience and biomechanical systems. His primary research areas include optimal feedback control, anthropomorphic manipulation, and energy-efficient motion planning. Nagashima’s most influential contribution is his 2010 study on "Optimal Feedback Control for anthropomorphic manipulators," which has garnered 26 citations. In this work, he pioneered a framework that models target-reaching tasks in redundant robotic arms by minimizing both energy consumption and compliance during motion. By formulating the motor control problem within the Optimal Feedback Control (OFC) paradigm, he introduced a novel cost function that accounts for biological and mechanical constraints, offering a principled approach to understanding human-like movement. This research has significant implications for the design of compliant, energy-efficient prosthetics and humanoid robots. Nagashima’s work is notable for its interdisciplinary impact, influencing fields from rehabilitation engineering to autonomous systems. His insights continue to inspire students and researchers seeking to optimize robotic control through biologically inspired principles.
Research Focus
Key Achievements
Top Papers
- 1Optimal Feedback Control for anthropomorphic manipulators26 citations · 2010