Masaya Suenaga
Papers
2
Total Citations
18
H-Index
2
About
Masaya Suenaga is a researcher at the forefront of precision agriculture and multi-robot systems, specializing in autonomous aerial robotics and 3D environmental mapping. His work centers on developing intelligent coverage control strategies for drone fleets, with a particular focus on optimizing viewing angles to enhance visual map reconstruction quality. Suenaga’s major contributions include the introduction of an angle-aware covering control strategy that enables unmanned aerial vehicles to not only sample images across an environment but also capture them from diverse, information-rich perspectives. This approach, demonstrated through a quadratic program-based solution, significantly improves the fidelity of 3D map reconstructions in complex settings like orchards. His most-cited paper, “3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy” (2022), has garnered 12 citations, while his related experimental study has received 6 citations, reflecting growing interest in his innovative methods. By bridging control theory and practical agricultural monitoring, Suenaga is helping to make autonomous drone fleets a viable tool for precision agriculture, offering scalable solutions for crop surveillance and environmental remote sensing.
Research Focus
Key Achievements
Top Papers
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- 2