T. Kitazoe
Papers
3
Total Citations
20
H-Index
2
About
T. Kitazoe is a robotics researcher whose work centers on bio-inspired control systems and swarm intelligence, with a particular focus on the Khepera robot platform. His most significant contributions lie in applying collective animal behaviors—such as schooling and flocking—to autonomous mobile systems. In his highly cited 2003 paper, "Khepera robots applied to highway autonomous mobiles" (10 citations), Kitazoe pioneered the use of simple, decentralized robot swarms to model and solve real-world traffic coordination problems, demonstrating how minimal sensing and local interactions can achieve efficient highway merging and lane-keeping. His 2001 study, "Fish School Simulation for Khepera Robot" (8 citations), further advanced this bio-mimetic approach by translating the emergent dynamics of fish schooling into robust, collision-free navigation algorithms for multi-robot systems. Additionally, his work on neural networks with competition and cooperation (2001, 2 citations) explored adaptive control architectures that allow robots to dynamically switch between individual and group behaviors. Though his citation counts are modest, Kitazoe’s research is notable for its early, practical integration of ethology and robotics, laying groundwork for later developments in swarm robotics and autonomous vehicle coordination.
Research Focus
Key Achievements
Top Papers
- 1Khepera robots applied to highway autonomous mobiles10 citations · 2003
- 2Fish School Simulation for Khepera Robot8 citations · 2001
- 3