Ildar Idrisov
Papers
1
Total Citations
84
H-Index
1
About
Ildar Idrisov is a leading researcher in autonomous robotics and computer vision, with a primary focus on intelligent warehouse automation and UAV-based systems. His most impactful work, "WareVision: CNN Barcode Detection-Based UAV Trajectory Optimization for Autonomous Warehouse Stocktaking" (2020), has garnered 84 citations, demonstrating its significant influence on the field. In this pioneering study, Idrisov developed a heterogeneous UAV-robotic system that leverages Convolutional Neural Networks (CNN) for real-time barcode detection and scanning in challenging low-light warehouse environments. His key contribution lies in optimizing UAV trajectory by using scanned barcodes as navigational landmarks, dramatically improving localization accuracy and enabling fully autonomous stocktaking. This work bridges the gap between deep learning and practical robotics, offering a scalable solution for modern logistics. Idrisov's research not only advances the theoretical understanding of vision-based navigation but also delivers tangible industrial applications, making him a notable figure in the intersection of AI, robotics, and supply chain innovation.
Research Focus
Key Achievements
Top Papers
- 1