Sho Igarashi
Papers
6
Total Citations
78
H-Index
4
About
Sho Igarashi is a robotics and agricultural engineering researcher whose work focuses on autonomous navigation systems, machine vision, and intelligent sensing technologies for agricultural machinery. His research addresses one of modern agriculture's most pressing challenges: reducing labor demands through smart automation across diverse and difficult terrain. Igarashi's most influential contribution — "The Development of Autonomous Navigation and Obstacle Avoidance for a Robotic Mower Using Machine Vision Technique" (2019, 55 citations) — established a foundational framework for GNSS-guided agricultural robots capable of detecting and avoiding obstacles in real-world field conditions. Building on this, he has expanded autonomous mowing systems into complex environments, developing GNSS-free orchard navigation using RGB-D cameras and convolutional neural networks, as well as 3D-LiDAR SLAM-based mapping for chestnut orchards. Notably, Igarashi's innovative thinking extends beyond land-based systems — his development of a small electric robot boat for aquatic weed mowing demonstrates a creative application of autonomous technology to water-based agricultural management. His ongoing integration of low-cost IMUs, multi-frequency GNSS compasses, and deep learning reflects a commitment to practical, accessible automation solutions. With a growing citation record, Igarashi represents an emerging voice in precision agriculture robotics.
Research Focus
Key Achievements
Top Papers
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- 2Development of a Small Electric Robot Boat for Mowing Aquatic Weeds8 citations · 2021
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