Suradet Tantrairatn

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About

Suradet Tantrairatn is a robotics researcher specializing in autonomous systems, precision agriculture, and industrial automation. His work focuses on integrating robotic platforms with advanced sensing and artificial intelligence to solve real-world operational challenges. His most cited paper, "Study of ROS Based Localization and Mapping for Closed Area Survey" (2019, 13 citations), demonstrates his foundational contributions to autonomous navigation using Robot Operating System (ROS) and Turtlebot3, enabling robots to map inaccessible environments like disaster zones and tunnels. In precision agriculture, his "Foliar Fertilizer Robot for Raised Bed Greenhouse Using NDVI Image Processing System" (2021, 7 citations) introduces a novel Cartesian robot that uses vegetation indices to optimize fertilizer spraying, significantly improving resource efficiency for crops like Green Oak lettuce. Most recently, his work "Multi-Classes Object Detection and Manipulation for Industrial Robots Using Deep Learning" (2025) advances AI-driven computer vision for industrial automation, enabling robots to detect and manipulate multiple object types. Tantrairatn's research bridges the gap between theoretical robotics and practical deployment, with applications spanning disaster response, sustainable agriculture, and smart manufacturing.