Yuki Kataoka

Papers

Total Citations

H-Index

About

Yuki Kataoka is a pioneering researcher in the field of multi-robot systems, with a primary focus on adaptive behavior acquisition and cooperative control for autonomous mobile robots. His foundational work, "Adaptive behavior acquisition of collision avoidance among multiple autonomous mobile robots" (2002, 22 citations), introduced the locally communicable infrared sensory system (LOCISS)—a novel local sensing device that enables robots to detect obstacles and peers for decentralized collision avoidance. This contribution laid critical groundwork for scalable, distributed robotic coordination. Kataoka further advanced cooperative robotics with his design of a fuzzy cooperative catching controller for multiple mobile robots (2002, 4 citations), where robots collaboratively herd and capture an escaping target by forming dynamic catching areas. His research uniquely bridges adaptive learning, sensor-driven navigation, and team-level strategy, offering practical solutions for real-world applications like warehouse automation and search-and-rescue. Though his citation counts reflect a focused, early-career impact, Kataoka’s innovations in local communication and fuzzy logic control remain influential for researchers developing robust, scalable multi-agent systems. His work exemplifies how simple, local interactions can yield sophisticated group behaviors.