Arshpreet Kaur
Papers
1
Total Citations
15
H-Index
1
About
Arshpreet Kaur is a researcher at the forefront of industrial automation and intelligent control systems, with a primary focus on integrating deep learning and machine vision into robotic applications. Her most-cited work, "Optimization of Sorting Robot Control System Based on Deep Learning and Machine Vision" (2022, 15 citations), addresses a critical challenge in the coal industry: replacing manual coal gangue dry separation with automated, precise robotic sorting. In this study, Kaur innovatively compares traditional PID control with dynamic domain fuzzy self-tuning PID, demonstrating how adaptive control can significantly enhance a robot’s ability to determine the ideal grasping position and orientation for irregular objects. This contribution not only advances the efficiency and safety of coal washing plants but also provides a scalable framework for intelligent sorting in other resource-heavy industries. By bridging theoretical control algorithms with practical machine vision, Kaur’s work has garnered attention for its potential to reduce human labor in hazardous environments. Her research stands as a key reference for engineers and researchers exploring the synergy between deep learning and real-time robotic manipulation, marking her as a promising voice in the evolution of smart manufacturing and automation.
Research Focus
Key Achievements
Top Papers
- 1