Nattapon Chayopitak

National Electronics and Computer Technology Center, Kasetsart University

Papers

Total Citations

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About

Nattapon Chayopitak is a robotics researcher whose work bridges autonomous navigation, human-robot interaction, and advanced control systems. His primary research areas include simultaneous localization and mapping (SLAM) for service robots, bilateral control for parallel manipulators, and adaptive control strategies for robotic systems. Chayopitak’s most cited work (16 citations) introduces an innovative indoor room identification and mapping approach using virtual SLAM, leveraging convolutional neural networks to recognize furniture and household object relationships. This contribution is pivotal for enabling autonomous home service robots to navigate complex indoor environments without relying on predefined maps. His research on bilateral control in delta robots (5 citations) explores the use of Jacobian matrices to enhance human-robot interface devices, capitalizing on the delta robot’s rigid body and fast movement capabilities. Additionally, Chayopitak has advanced adaptive and repetitive control theory (4 citations) by developing a desired compensation learning law with B-spline shape functions, offering robust performance with low memory requirements for robotic manipulators. His work demonstrates a commitment to practical, real-world robotics applications, from household assistance to precision manufacturing, making him a notable contributor to the field of intelligent robotic systems.