Ryohei Nogami
Papers
1
Total Citations
3
H-Index
1
About
Ryohei Nogami is a researcher in bio-inspired robotics, with a primary focus on adaptive locomotion control for legged robots. His key research areas include central pattern generator (CPG) networks, quadrupedal walking, and musculoskeletal robot design. Nogami’s major contribution lies in developing adaptive walking control systems that integrate CPG networks with bi-articular muscle models—a design that mimics biological joints to enhance stability and flexibility. His most-cited work, "Adaptive walking control using CPG network for quadruped robot with bi-articular muscles model" (2010), demonstrates how internal feedback can dynamically adjust gait patterns, enabling robots to adapt to changing terrains without external sensors. While his citation count is modest (3 citations), this foundational paper represents early efforts in bridging neural control and mechanical design for more natural robot locomotion. Nogami’s work contributes to the broader field of bio-inspired robotics, offering insights into how biological principles can improve robot mobility. His research is particularly relevant for students and engineers interested in CPG-based control, musculoskeletal robotics, and adaptive walking algorithms.
Research Focus
Key Achievements
Top Papers
- 1