Papers
9
Total Citations
49
H-Index
4
About
Manabu Nishiura is a leading researcher in the field of musculoskeletal humanoids, focusing on creating robots that mimic the human body’s complex, redundant muscle and skeletal systems. His major contributions center on developing robust control strategies and design optimizations that allow these robots to compensate for physical damage, such as muscle rupture, through online learning of redundant intersensory networks. Notably, his work on robust continuous motion strategies (16 citations) and design optimization for maximizing redundancy (7 citations) has been pivotal in advancing the resilience and adaptability of biomimetic robots. Nishiura has also pioneered methods for self-body image acquisition and posture generation, enabling a musculoskeletal humanoid to successfully perform tasks like steering a car wheel (7 citations). His research extends to operational space control using Hill-type muscle models and the development of self-healing tension transmission systems for legged robots. With a portfolio of highly cited papers from 2021-2022, Nishiura’s work is instrumental in bridging the gap between biological inspiration and practical, damage-tolerant robotic systems, offering key insights for students and researchers in humanoid robotics and biomimetic control.
Research Focus
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