Wataru Takeuchi
Papers
1
Total Citations
7
H-Index
1
About
Wataru Takeuchi is a robotics researcher whose work focuses on multi-robot coordination, formation control, and intelligent motion planning. His most cited paper, "Robots moving in formation by using neural network and radial basis functions" (2002, 7 citations), presents a pioneering vision-based system where four mobile robots move in coordinated formations—such as triangular or diamond patterns—guided by a single leader. This work demonstrates how neural networks and radial basis functions can enable robots to autonomously interpret visual cues and adjust their positions in real time, laying groundwork for swarm robotics and cooperative autonomous systems. While his citation count is modest, Takeuchi’s contributions are notable for addressing practical challenges in decentralized robot control and formation adaptability. His research is particularly relevant for students and engineers interested in multi-agent systems, sensor-based navigation, and bio-inspired coordination strategies. By integrating neural network learning with geometric formation algorithms, Takeuchi has helped advance the field of intelligent robotics, offering foundational insights that continue to inform modern studies in autonomous vehicle platooning and collaborative drone operations.
Research Focus
Key Achievements
Top Papers
- 1