Kouta Inoue
Papers
1
Total Citations
7
H-Index
1
About
Kouta Inoue is a pioneering researcher in bio-inspired robotics, with a focus on developing autonomous locomotion systems that mimic animal physiology. His work centers on neuromechanical control, particularly the integration of central pattern generators (CPGs) with realistic musculoskeletal models to achieve adaptive, brain-independent movement in quadruped robots. In his most cited study, "Autonomous speed adaptation by a muscle-driven hind leg robot modeled on a cat without intervention from brain" (2021, 7 citations), Inoue designed a two-level CPG nervous system that enabled a simulated and physical hind leg robot to autonomously adjust its gait speed—a breakthrough in reducing reliance on top-down neural commands. This contribution demonstrates how local neural circuits can drive complex, adaptive locomotion, offering a pathway toward more resilient and energy-efficient legged robots. Inoue’s work bridges neuroscience and robotics, providing a foundational framework for understanding how animals achieve fluid motion and for engineering machines that can navigate unstructured environments without constant external control.
Research Focus
Key Achievements
Top Papers
- 1