Shigekazu Fukui

Papers

Total Citations

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About

Shigekazu Fukui is a researcher whose work centers on swarm robotics and cooperative localization, with a particular focus on enhancing the precision and reliability of multi-robot systems. His primary contributions lie in developing advanced estimation techniques for swarm localization, specifically through the application of the Extended Kalman Filter (EKF) to handle range-only measurements. This approach addresses a critical challenge in swarm robotics: enabling multiple robots to collaboratively determine their positions in environments where direct distance data is limited or noisy. Fukui’s most cited paper, "Swarm EKF Localization for a Multiple Robot System with Range-Only Measurements" (2013, 5 citations), and its 2014 follow-up (3 citations) introduce a stochastic hidden Markov model framework that accounts for conditionally dependent observed variables, improving localization accuracy in dynamic, decentralized settings. While his citation counts reflect a niche but growing impact, his work is foundational for researchers exploring scalable, robust localization in autonomous swarms. Fukui’s contributions are particularly notable for their practical relevance to field robotics, where range-only sensors are common, and his methods offer a pathway to more resilient multi-robot coordination.