Panjawee Rakprayoon

Kasetsart University, Pathumthani University

Papers

Total Citations

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About

Panjawee Rakprayoon is a researcher in robotics and computer vision, with a focus on human-robot interaction and autonomous manipulation systems. Her early work introduced an innovative method for obstacle modeling using a Kinect depth sensor, combining iterative least square (ILS) and iterative closest point (ICP) algorithms to distinguish a manipulator from its surroundings. This foundational research, cited 6 times, addressed critical challenges in calibration and real-time environment perception for robotic arms. More recently, Rakprayoon developed a vision-based autonomous AI system for playing tic-tac-toe, leveraging a RealSense camera and advanced object detection to identify game pieces in real time. This work, already garnering 2 citations since its 2024 publication, demonstrates her continued commitment to bridging computer vision and practical robotics. By integrating depth sensing with intelligent decision-making, Rakprayoon’s contributions advance the field of autonomous manipulation, offering scalable solutions for industrial and interactive applications. Her research remains influential for students and engineers exploring sensor-based robotic control and AI-driven automation.