Alisa Kunapinun

Papers

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About

Alisa Kunapinun is a robotics researcher whose work focuses on the practical integration of vision systems and industrial automation. Her primary research areas include delta robot kinematics, SCARA robot calibration, and vision-guided robotic manipulation. Kunapinun’s most notable contribution is her 2020 paper on the "Development of Pick and Place Delta Robot," which has garnered 6 citations for its detailed approach to high-speed, precise object handling. She further advanced the field with her 2019 study on "The 9 Points Calibration Using SCARA Robot," which addresses a critical challenge in industrial robotics: accurately transferring camera pixel coordinates to robot coordinates for seamless vision integration. This work, cited 3 times, provides a systematic method for aligning vision systems with robotic arms, enabling reliable object detection and positioning. Kunapinun’s research is particularly valuable for applications requiring automated pick-and-place operations, where precision and calibration are paramount. Her contributions help bridge the gap between theoretical robotics and real-world manufacturing, making her a key figure in advancing accessible, efficient automation solutions for industry.