Dumrongsak Kijdech
Papers
2
Total Citations
12
H-Index
2
About
Dumrongsak Kijdech is a robotics researcher specializing in intelligent manipulation systems, with a core focus on dual-arm collaborative robots, computer vision, and grasping strategies for complex industrial objects. His work addresses critical challenges in automated manufacturing, particularly the reliable detection and manipulation of workpieces under inconsistent lighting and environmental conditions. Kijdech’s most cited paper (8 citations, 2023) introduces a pick-and-place system combining a dual-arm collaborative robot with an RGB-D camera and YOLOv5, demonstrating robust object detection for industrial tasks. His subsequent work (4 citations, 2024) extends this approach to hot-forged brass workpieces, using Mask R-CNN and a tailored grasping strategy to handle irregular, flash-ridden objects that conventional vision systems struggle to process. These contributions are directly relevant to Industry 4.0, offering practical solutions for automating complex, high-variability tasks in forging and assembly lines. By integrating state-of-the-art deep learning with dual-arm coordination, Kijdech is advancing the frontier of flexible, vision-guided robotics for real-world manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2