Kosuke INOUE
Papers
1
Total Citations
6
H-Index
1
About
Dr. Kosuke Inoue is a leading researcher in agricultural robotics and autonomous navigation systems, with a focus on developing intelligent machines for precision farming. His work centers on integrating machine vision, deep learning, and sensor fusion to enable robots to operate reliably in unstructured outdoor environments without reliance on global navigation satellite systems (GNSS). His most cited paper, "Autonomous Navigation and Obstacle Avoidance in an Orchard Using Machine Vision Techniques for a Robotic Mower" (2022), demonstrates a novel system using two RGB-D cameras and an inertial measurement unit (IMU) to navigate orchards while a convolutional neural network (CNN) identifies obstacles. This work has already garnered 6 citations, reflecting its impact on the field of field robotics. Dr. Inoue’s contributions are critical for advancing sustainable agriculture, reducing the need for human intervention in labor-intensive tasks, and improving the safety and efficiency of autonomous machinery. His innovative approach to vision-based navigation continues to inspire new research in robotic mowing and precision agriculture.
Research Focus
Key Achievements
Top Papers
- 1