Daishin Ueyama

Papers

Total Citations

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About

Daishin Ueyama is a researcher focused on the intersection of decentralized control systems and unconventional computing, with a particular emphasis on multi-agent coordination and algorithmic problem-solving. His most cited work, "Decentralised control of multiple mobile agents for quick, smooth, and safe movement" (2021, 6 citations), addresses critical challenges in real-world applications such as warehouse robotics, autonomous vehicles, and drone swarms, proposing methods for agents to navigate efficiently while avoiding collisions without centralized oversight. Ueyama has also made notable contributions to the study of maze-solving techniques, exploring both active and passive particle systems (2018, 5 citations) and chemical-based approaches (2015, 2 citations). These works bridge theoretical graph theory and network problems with practical applications in robotics and urban transportation, demonstrating innovative uses of unconventional computing paradigms. His research is particularly valuable for students and researchers interested in distributed artificial intelligence, swarm robotics, and bio-inspired algorithms, offering foundational insights into how simple rules can govern complex, safe, and efficient collective behavior in dynamic environments.