Pimlapat Butdee

Papers

Total Citations

H-Index

About

Dr. Pimlapat Butdee is a researcher at the forefront of culinary robotics, specializing in computer vision and autonomous food preparation systems. Her work bridges artificial intelligence and gastronomy, with a primary focus on developing intelligent recognition systems that enable robots to perceive and assess food quality in real time. Her most notable contribution is the "Vision-Based Yakiniku Recognition System for Autonomous Cooking Robot," which introduces a novel approach to classifying meat doneness—undercooked, medium, or well-done—directly from camera images. This system is designed for the Japanese barbeque tradition of yakiniku, aiming to automate a task that typically requires human sensory judgment. By leveraging deep learning for visual classification, Dr. Butdee's research addresses a critical challenge in robotic cooking: the ability to adapt cooking processes based on visual feedback. Her work has garnered attention in the emerging field of service robotics, with her flagship paper accumulating citations that underscore its relevance to both academia and industry. Dr. Butdee's contributions pave the way for more autonomous, precise, and culturally adaptive cooking robots, marking her as a key innovator in the intersection of robotics and food science.