Kyouhei Kawashima
Papers
1
Total Citations
3
H-Index
1
About
Kyouhei Kawashima is a researcher whose work bridges neural computation and robotics, with a particular focus on complex-valued neural networks for autonomous systems. His most-cited paper, "Complex-valued neural network for group-movement control of mobile robots" (2012), introduces a novel approach for enabling mobile robots to autonomously determine behavior based on multi-sensor data, while also addressing group-movement dynamics—a problem that spans robotics and computer graphics. By leveraging complex-valued neural networks for data fusion, Kawashima offers a sophisticated method for coordinating multiple agents in real time. Though his citation count is modest, his work contributes to the growing field of intelligent, decentralized control systems. His research is especially relevant for students and engineers interested in neural network architectures, swarm robotics, and sensor integration. Kawashima’s approach stands out for its integration of complex numbers into neural processing, a technique that can enhance the representation of phase and amplitude information in control tasks. His work continues to inspire further exploration into bio-inspired and mathematically elegant solutions for autonomous group behavior.
Research Focus
Key Achievements
Top Papers
- 1