Kontorn Chamniprasart

Institute of Engineering, Suranaree University of Technology

Papers

Total Citations

H-Index

About

Kontorn Chamniprasart is a researcher at the forefront of intelligent manufacturing, specializing in machine vision, robotics, and the integration of deep learning into industrial automation. His work addresses the critical challenge of creating flexible, high-mix production lines. His most influential paper, "Using Machine Vision for Flexible Automatic Assembly System" (2016), with 48 citations, pioneered the design of a prototype pick-and-place system that seamlessly integrates machine vision with robotic control, enabling adaptable automation for varied tasks. He further advanced robotic manipulation with "A Prototyping of 2-DOF Robot Arm Using Feedback Control System" (2019), demonstrating precise, feedback-driven control for industrial manipulators. Most recently, his 2025 work, "Multi-Classes Object Detection and Manipulation for Industrial Robots Using Deep Learning," marks a significant leap forward by applying AI to enable robots to detect and handle multiple object types autonomously. With a clear trajectory from foundational prototyping to cutting-edge AI integration, Chamniprasart’s research is shaping the next generation of smart, flexible factories, making him a key contributor to the evolution of Industry 4.0.