Hiroki Kawai
Papers
1
Total Citations
7
H-Index
1
About
Hiroki Kawai is a researcher in evolutionary robotics and computational neuroscience, focusing on how neuromodulatory mechanisms enhance the adaptability of artificial neural networks. His most-cited work, "The Effect of Neuromodulations on the Adaptability of Evolved Neurocontrollers" (2001), with 7 citations, explores how modulating neural parameters—such as synaptic weights and thresholds—can improve the flexibility of evolved controllers in dynamic environments. This contribution highlights a key intersection between biological inspiration and machine learning, demonstrating that neuromodulation can enable neurocontrollers to better handle unforeseen changes without retraining. Kawai’s research is foundational for understanding how to build more robust, adaptive systems in robotics and artificial intelligence, offering insights into the principles of neural plasticity and evolution. His work is particularly valuable for students and researchers interested in bio-inspired algorithms, adaptive control, and the future of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1