Tomoko Hioki
Papers
1
Total Citations
2
H-Index
1
About
Tomoko Hioki’s research centers on the neural and computational principles underlying locomotion, with a particular focus on the central pattern generator (CPG)—a neural network that produces rhythmic motor outputs. Her foundational work, "Basic Concepts of the Control and Learning Mechanism of Locomotion by the Central Pattern Generator" (2007), introduces a hierarchical control framework in which the CPG synchronizes with a physical system to generate and adapt desired locomotion patterns. Although this key chapter has garnered 2 citations, its conceptual clarity has informed subsequent studies in bio-inspired robotics and motor control. Hioki’s contributions bridge neuroscience and engineering, offering insights into how living systems achieve adaptive, rhythmic movement—a critical area for developing more natural prosthetic limbs and legged robots. Her work underscores the importance of understanding biological learning mechanisms to design autonomous systems capable of real-time adaptation. For students and researchers exploring the intersection of neural control and robotics, Hioki’s synthesis of CPG theory provides a valuable entry point into the principles that govern both biological and artificial locomotion.
Research Focus
Key Achievements
Top Papers
- 1