Furqan Ullah

Myongji University

Papers

8

Total Citations

80

H-Index

7

About

Furqan Ullah is a robotics and intelligent systems researcher whose work sits at the intersection of autonomous navigation, collision avoidance, and sensor-based control systems for mobile robots. His research has made meaningful contributions to the development of safer, smarter robotic platforms capable of operating in uncertain and dynamic environments. Ullah's most recognized work focuses on integrating tracking and accident avoidance capabilities into wheeled mobile robots, with his 2013 paper on this topic accumulating 17 citations and representing a culmination of several years of focused investigation. His earlier studies introduced collision warning and avoidance systems (CWAS) and fuzzy logic controllers that enable robots to interpret ambiguous ultrasonic sensor data in real time — a technically challenging problem with direct implications for intelligent transportation systems and autonomous vehicles. Across his portfolio of publications, Ullah has consistently explored how low-cost sensor frameworks, microcontrollers, and remote-control architectures can be combined to reduce road accidents and improve vehicle-to-vehicle distance management. With a total citation count exceeding 80 across his key papers, his body of work reflects a sustained commitment to practical, real-world robotics applications. Researchers interested in sensor fusion, fuzzy control, and autonomous robot navigation will find his contributions a valuable foundation for further exploration.

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: Myongji University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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