Yusuke Omura
Papers
8
Total Citations
58
H-Index
5
About
Yusuke Omura is a pioneering researcher in the field of musculoskeletal humanoids, focusing on creating robots that closely mimic the human body’s complex structure and movement. His key research areas include biomimetic robotics, redundant sensorimotor control, and online learning for adaptive motion. Omura’s major contributions center on developing robust control strategies that allow musculoskeletal humanoids to compensate for muscle rupture and maintain continuous motion, as demonstrated in his most-cited work (16 citations). He has also advanced autonomous driving capabilities for these robots, summarized in a 2020 article (14 citations), and optimized muscle redundancy through design optimization (7 citations). His notable achievements include enabling object manipulation via self-body image acquisition and posture generation (7 citations), implementing biomimetic operational space control (5 citations), and developing planar interskeletal leg structures for human-like movement (4 citations). Omura’s work on online learning for danger avoidance and automatic sensor-actuator grouping further underscores his impact, with cumulative citations exceeding 50. His research is instrumental in pushing the boundaries of humanoid robotics, offering insights into resilient, human-like motion for real-world applications.
Research Focus
Key Achievements
Top Papers
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