Duy Anh Dang
Papers
1
Total Citations
10
H-Index
1
About
Duy Anh Dang is a robotics and automation researcher whose work centers on intelligent manufacturing systems, computer vision, and multi-robot coordination. His most cited contribution, the 2022 paper "Development of Multi-Robotic Arm System for Sorting System Using Computer Vision," presents an innovative sorting system that integrates a master-slave robotic arm configuration with stereo vision technology. This system uses three conveyor belts and four coordinated robotic arms to sort objects by size and shape, demonstrating a practical approach to industrial automation. With 10 citations, this work showcases Dang's ability to bridge theoretical robotics with real-world applications. His research addresses critical challenges in automated sorting, including multi-arm synchronization and vision-based object recognition, contributing to the broader field of Industry 4.0. Dang's work is particularly notable for its emphasis on scalable, modular robotic systems that can be adapted for various manufacturing environments. As a researcher focused on the intersection of computer vision and robotic control, Dang continues to advance the capabilities of automated sorting and material handling systems.
Research Focus
Key Achievements
Top Papers
- 1