Taishin Nomura

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About

Taishin Nomura is a leading researcher in computational neuroscience and biomechanics, whose work bridges the gap between human motor control and robotics. His primary research areas include dynamic stability in bipedal locomotion, phase resetting mechanisms, and neuromusculoskeletal modeling. Nomura’s major contributions center on understanding how humans and humanoid robots maintain balance during gait, particularly in response to perturbations like stumbling. His 2009 paper, "Dynamic stability and phase resetting during biped gait," with 41 citations, introduces simplified yet mechanically plausible models of human and robotic gait systems, demonstrating how periodic joint-angle trajectories can preserve stability. This work is complemented by his 2006 study, "Stumbling with optimal phase reset during gait can prevent a humanoid from falling," which has garnered 27 citations and shows how phase resetting—a neural strategy—can prevent falls. Together, these studies have significantly advanced the design of more resilient humanoid robots and deepened insights into human motor recovery. Nomura’s research is notable for its interdisciplinary impact, influencing fields from rehabilitation engineering to robotics.