Kuniaki Uto

Papers

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About

Kuniaki Uto is a leading researcher at the intersection of robotics, control theory, and precision agriculture, with a primary focus on multi-drone systems for environmental monitoring and 3-D map reconstruction. His key contributions center on developing **angle-aware coverage control** strategies—a novel framework that ensures drone networks not only cover a physical area but also capture images from a diverse range of viewing angles, which is critical for high-fidelity 3-D visual reconstruction. In his seminal 2021 paper (26 citations), Uto formalized this problem using a virtual field concept, enabling drones to autonomously optimize their trajectories for comprehensive spatial sampling. He extended this work with experimental validation in 2022 (6 citations) and a practical application to orchard mapping (12 citations), demonstrating real-world utility in precision agriculture. Uto’s research bridges theoretical control design with tangible robotic systems, offering scalable solutions for tasks like crop monitoring and infrastructure inspection. His work has been recognized for its innovation in multi-agent coordination, and his angle-aware paradigm is now a foundational approach in drone-based 3-D mapping, inspiring further studies in environmental robotics.