Mansour Al-Harbi

King Fahd University of Petroleum and Minerals

Papers

1

Total Citations

3

H-Index

1

About

Dr. Mansour Al-Harbi is a researcher specializing in cloud robotics and autonomous navigation systems, with a particular focus on integrating cloud computing with indoor robotic mobility. His most cited work, "Cloud-Based Autonomous Indoor Navigation: A Case Study" (2020, 3 citations), presents a pioneering system that leverages cloud services for real-time map generation, robot coordination, and video streaming—enabling both autonomous operation and remote human oversight during emergencies. This contribution addresses critical challenges in deploying scalable, cost-effective navigation solutions for indoor environments. While his citation count is still growing, Dr. Al-Harbi’s work demonstrates a practical, systems-level approach that bridges cloud infrastructure with autonomous robotics, offering a foundation for future research in smart building automation and disaster response robotics. His research is particularly relevant for students and engineers interested in the intersection of IoT, cloud computing, and mobile robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Cloud-Based Autonomous Indoor Navigation: A Case Study
3 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: King Fahd University of Petroleum and Minerals

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago