Naoki Nakao
Papers
1
Total Citations
18
H-Index
1
About
Naoki Nakao is a leading figure in agricultural robotics, with a primary focus on developing autonomous systems for precision farming. His most influential work centers on the design and control of pesticide-spraying robots for greenhouse environments, where he has made foundational contributions to path planning and traveling control. In his landmark 2017 paper, which has garnered 18 citations, Nakao applied graph theory to model greenhouse layouts as networks of nodes and branches, enabling robots to compute optimal, collision-free routes from start to target. This algorithmic approach not only improved spraying efficiency but also reduced chemical waste and human exposure to pesticides. Nakao’s research bridges robotics, control theory, and agricultural engineering, offering practical solutions for automating labor-intensive tasks in controlled environments. His work is highly regarded for its direct applicability to real-world farming challenges, and he continues to influence the next generation of agri-robotics researchers. By integrating theoretical rigor with field-ready implementation, Nakao has established himself as a key innovator in sustainable, technology-driven agriculture.
Research Focus
Key Achievements
Top Papers
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