Tomo Ohsawa
Papers
1
Total Citations
7
H-Index
1
About
Tomo Ohsawa is a pioneering researcher in multi-robot systems, with a primary focus on formation control and cooperative robotics. His most influential work, "Robots moving in formation by using neural network and radial basis functions" (2002), introduced a vision-based approach enabling four mobile robots to autonomously maintain formations—including triangular and diamond patterns—by following a leader. This early contribution laid groundwork for adaptive, neural-network-driven coordination in swarm robotics, demonstrating how radial basis functions could enhance real-time trajectory planning. Although his citation count (7) is modest, Ohsawa's work is notable for its forward-looking integration of neural networks into physical robot teams at a time when such concepts were nascent. His research addresses core challenges in decentralized control, vision-based sensing, and formation scalability, influencing later studies in multi-agent systems and autonomous navigation. Ohsawa’s achievements highlight the enduring value of foundational robotics research, where practical demonstrations of formation control continue to inspire advances in collaborative autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1