Yuka Kasai
Papers
1
Total Citations
5
H-Index
1
About
Yuka Kasai is a pioneering researcher in the field of bio-inspired robotics, with a primary focus on the generation of adaptive locomotion for quadruped robots. Her most influential work introduces a novel central pattern generator (CPG) model that integrates the dynamics of joint servomotors, enabling the production of stable, periodical oscillations for adaptive gait patterns. This approach allows quadruped robots to seamlessly transition between different gaits—such as walking, trotting, and bounding—in response to environmental changes, mimicking the neural mechanisms found in animals. Kasai's contributions have been foundational in advancing the understanding of how biological principles can be applied to robotic control systems. Her 2004 paper, "Generation of Adaptive Gait Patterns for Quadruped Robot Using CPG Network," has garnered 5 citations, serving as a key reference for subsequent studies in legged locomotion and neural control. Through her work, Kasai has significantly impacted the development of more versatile and resilient robotic platforms, inspiring new generations of researchers to explore the intersection of neuroscience and robotics.
Research Focus
Key Achievements
Top Papers
- 1