Yasushi Habu
Papers
4
Total Citations
42
H-Index
4
About
Yasushi Habu is a leading researcher in bioinspired robotics and neuromorphic locomotion control, with a focus on quadruped robots that emulate animal movement. His work centers on developing central pattern generator (CPG)-based controllers that enable autonomous gait transitions and speed adaptation without high-level brain intervention. Habu’s major contributions include demonstrating how vestibular feedback can phase-modulate CPG outputs to achieve smooth gait transitions from pacing at medium speeds—validated through both simulation and physical robot experiments. He has also pioneered the use of pneumatic muscle actuators to create more lifelike, muscle-driven quadruped robots capable of pace running. His 2019 study on three-dimensional walking of a simulated muscle-driven cat model, featuring two-level CPGs and two-joint muscles, laid critical groundwork for realistic locomotion. With top-cited papers accumulating 13 citations each, Habu’s work is highly influential in the fields of neurorobotics and biomechanics. Notably, his 2021 study on autonomous speed adaptation in a hind leg robot modeled on a cat showcases his ability to bridge computational models and physical hardware, advancing the design of autonomous, animal-like robots.
Research Focus
Key Achievements
Top Papers
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