Papers
10
Total Citations
192
H-Index
9
About
Kazunori Hase is a distinguished researcher whose work spans biomechanical engineering, rehabilitation robotics, and human movement science. His research career has been defined by a consistent drive to bridge computational modeling of human locomotion with practical robotic applications that enhance human capability and recovery. Hase's foundational contributions include pioneering three-dimensional musculoskeletal and hierarchical neuronal models of human bipedal walking, providing a more physiologically accurate framework than the simplified 2D models that previously dominated the field. Building on this, he applied genetic programming to evolve neural oscillator-based bipedal locomotion controllers, advancing understanding of how coordinated human movement patterns might emerge — work that garnered nearly 20 citations and influenced both robotics and neurophysiology communities. His 2011 work on CPG-based neuromusculoskeletal walking models attracted 35 citations, reflecting its significance in robust locomotion control. In applied robotics, Hase developed a wearable assistive robot for carpentry workers performing physically demanding overhead tasks, his most-cited contribution at 54 citations. He also made meaningful strides in lower-limb rehabilitation robotics, designing trajectory-planning systems grounded in musculoskeletal modeling to optimize patient outcomes. Collectively, his research represents an impactful intersection of biomechanics, computational modeling, and human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1Development of a Wearable Robot for Assisting Carpentry Workers54 citations · 2007
- 2Robust control of CPG-based 3D neuromusculoskeletal walking model35 citations · 2011
- 3Evolving bipedal locomotion with genetic programming - a preliminary report19 citations · 2002
- 4Evolutionary generation of human-like bipedal locomotion15 citations · 2003
- 5Trajectory planning of a robot for lower limb rehabilitation14 citations · 2011
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