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About

Taichi Uehara is a distributed computing researcher whose work focuses on the coordination and self-organization of autonomous mobile robots in multi-dimensional spaces. His most significant contributions center on foundational problems in swarm robotics, particularly the **plane formation problem** and **pattern formation problem**, which explore the conditions under which groups of anonymous, autonomous robots can organize themselves into geometric configurations within three-dimensional Euclidean space. Uehara's most influential work, "Plane Formation by Synchronous Mobile Robots in the Three-Dimensional Euclidean Space" (2017), has accumulated 59 citations and rigorously establishes the theoretical conditions under which robot swarms can achieve planar self-organization — a critical stepping stone toward scalable, decentralized robotic systems. His research examines both synchronous and semi-synchronous robot models, systematically characterizing necessary and sufficient conditions for successful formation across different activation schedules. Collectively, his body of work has garnered nearly 105 citations, making meaningful contributions to the theoretical underpinnings of distributed robotics and sensor network coordination. His research is particularly valuable to students and practitioners working at the intersection of distributed algorithms, swarm intelligence, and autonomous multi-agent systems.