Tatsuro Yoshimura

Self-Defense Forces Central Hospital, National Defense Academy of Japan

Papers

Total Citations

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About

Tatsuro Yoshimura is a researcher in swarm robotics, focusing on the challenge of target enclosure—the coordinated encircling of objects by autonomous robot teams. His work addresses a critical gap in the field: how to achieve robust, scalable enclosure without requiring individual robot identification or knowledge of the exact number of targets. His most-cited paper, "Multiple targets enclosure by robotic swarm" (2014, 18 citations), proposes a decentralized model that allows a swarm to dynamically surround multiple targets, enhancing resilience against individual robot failures. Earlier contributions, including "Target Enclosure for Multiple Targets" (2012, 4 citations) and "Swarm based enclosure model for unspecified number of targets" (2011, 2 citations), lay the groundwork for systems that operate in unpredictable environments, such as disaster site surveillance. His "Individual recognition-free target enclosure model" (2012, 2 citations) further advances scalability by eliminating the need for robots to distinguish one another. Though his citation counts are modest, Yoshimura’s research is foundational for practical, fault-tolerant robotic swarms, offering key insights for students and engineers designing autonomous systems for real-world applications where flexibility and robustness are paramount.