Teruya Maeda
Papers
1
Total Citations
15
H-Index
1
About
Teruya Maeda’s research lies at the intersection of biologically inspired robotics and nonlinear dynamics, with a focus on autonomous locomotion. His most-cited work, “Autonomous trajectory generation of a biped locomotive robot using neuro oscillator” (2002, 15 citations), pioneered the use of a four-neuron-cell neuro-oscillator—mutually coupled with inhibitory connections—to generate stable, periodic walking trajectories for biped robots. By conducting rigorous stability analysis, Maeda demonstrated how such neural oscillators can replace traditional pre-programmed gaits, enabling robots to adapt their motion autonomously. This foundational contribution bridges neuroscience and robotics, offering a framework for more natural, energy-efficient locomotion. While his citation count reflects a specialized niche, the impact of his work resonates in the fields of central pattern generator (CPG) research and bio-inspired control systems. Maeda’s approach has influenced subsequent studies on adaptive gait generation and humanoid robot design, underscoring his role in advancing autonomous trajectory planning. His research exemplifies how simple neural models can unlock complex, adaptive behaviors in machines—a key step toward truly autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1