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About

Seiya Ueno is a pioneering researcher in space and multi-robot systems, whose work bridges autonomous navigation, swarm intelligence, and human-robot collaboration. His early contributions include sensor-based path planning for space robot arms, where he developed methods to simultaneously control a robot's body orientation and arm position using only arm motion—a foundational approach for orbital servicing missions. Ueno's recent focus on multi-robot patrols has yielded algorithms that ensure continuous connectivity and enhance base station situation awareness, directly addressing the critical gap between laboratory swarms and real-world deployment. His 2024 paper on patrol with continuous connectivity (4 citations) introduces distributed coordination that maintains communication links while assessing operator understanding, a key step toward trustworthy autonomous systems. Ueno also proposed a collision avoidance law using information theory (2011, 3 citations), applying entropy-based metrics to unmanned vehicle navigation. His hierarchical control framework for robotic swarms (2023, 2 citations) demonstrates how operator interventions can improve swarm capability without sacrificing autonomy. With over 20 citations across his most influential works, Ueno's research is shaping the future of autonomous systems in space, surveillance, and transportation.