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About

Supod Kaewkorn is a robotics researcher dedicated to advancing automation in agriculture and industrial applications. His work focuses on developing cost-effective, high-precision robotic systems, particularly for weeding and crop management. Kaewkorn’s major contributions include the creation of a novel, low-cost High-Accuracy Position-Aware Robot for Agricultural Automation, which employs a triple-laser-guided (TLG) system coupled with an IMU to achieve precise localization—a breakthrough for affordable agricultural robotics. He also designed and evaluated a levelling system for a weeding robot, addressing the critical challenge of intra-row weed control in organic farming. In industrial robotics, Kaewkorn developed a Pick and Place Delta Robot and a 9-point calibration method for SCARA robots, enhancing vision-guided automation. His work on learning modules for visual-based tracking and path control using Pure Pursuit further demonstrates his commitment to accessible, intelligent robotics. With over 19 citations across his most-cited papers, Kaewkorn’s research is steadily gaining recognition for its practical impact, offering scalable solutions that bridge the gap between advanced automation and real-world agricultural and industrial needs.