Mohamed Nagy

Papers

1

Total Citations

3

H-Index

1

About

Mohamed Nagy is a forward-thinking researcher at the intersection of artificial intelligence and autonomous systems, with a primary focus on revolutionizing last-mile logistics. His work centers on developing AI-augmented self-driving delivery robots that address the critical challenges of cost, efficiency, and safety in the final stage of shipping—a segment widely recognized as the most time-consuming and expensive in the supply chain. Nagy’s most-cited paper, "Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots" (2023), has already garnered 3 citations, reflecting its timely relevance amid the e-commerce boom and growing environmental concerns. In this work, he proposes novel frameworks for integrating AI perception, navigation, and decision-making to enable robots to operate autonomously in complex urban environments while ensuring pedestrian safety and regulatory compliance. Nagy’s contributions are particularly notable for addressing the dual pressures of rising online shopping demand and the urgent need for sustainable delivery solutions. His research not only advances autonomous vehicle technology but also offers practical pathways toward reducing carbon footprints and operational costs in logistics, positioning him as an emerging voice in the future of smart, eco-friendly urban transportation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago