Papers

8

Total Citations

80

H-Index

7

About

Qurban Ullah is a robotics and intelligent systems researcher whose work centers on autonomous mobile robot navigation, collision avoidance, and sensor-based control systems. His research addresses one of the most persistent challenges in both robotics and intelligent transportation: enabling machines to perceive, respond to, and safely navigate uncertain real-world environments. Ullah's most significant contributions lie in developing integrated tracking and accident avoidance systems for mobile robots, with his 2013 paper on this topic becoming his most cited work, accumulating 17 citations. A recurring theme across his portfolio is the application of fuzzy logic controllers to interpret ambiguous sensor data — particularly from ultrasonic sensors — allowing robots to make reliable decisions despite environmental uncertainty. His 2011 paper on real-time object following using fuzzy control exemplifies this approach with 12 citations. Collectively, his published works — spanning collision warning systems, sensor-based autonomous navigation, and distance control algorithms — have garnered over 80 citations, reflecting steady influence in the mobile robotics community. His research holds practical implications for road safety and unmanned vehicle systems, bridging laboratory robotics with real-world vehicular applications. Students interested in autonomous navigation, embedded systems, or intelligent transportation will find his body of work a valuable foundational reference.

Research Focus

Key Achievements

7
H-Index
8
Papers
80
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Integrated tracking and accident avoidance system for mobile robots
17 citations · 2013
📈 Most Prolific Year: 2012 (5 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Virtual University of Pakistan

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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