Mustapha K. Khaldi
Papers
1
Total Citations
7
H-Index
1
About
Mustapha K. Khaldi is a leading researcher in intelligent logistics and autonomous systems, with a focus on integrating unmanned aerial vehicles (UAVs) and ground robots for real-world automation. His most-cited work, "Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems" (2025, 7 citations), tackles the critical challenge of deploying vision-based AI on resource-constrained platforms. Khaldi’s contributions center on enhancing supply chain resilience through real-time object recognition and intelligent decision-making, reducing human error and operational costs. By leveraging YOLO (You Only Look Once) on embedded systems, he demonstrates how lightweight deep learning models can enable autonomous coordination between aerial and ground robots in logistics environments. This work bridges the gap between theoretical AI and practical deployment, offering scalable solutions for warehouse automation and last-mile delivery. Khaldi’s research is pivotal for students and engineers seeking to understand the technical hurdles of embedded vision systems in robotics. His achievements highlight a commitment to advancing Industry 4.0, where efficient, cost-effective automation transforms traditional supply chains into adaptive, intelligent networks.
Research Focus
Key Achievements
Top Papers
- 1