Papers

2

Total Citations

16

H-Index

2

About

Ihtisham Ul Haq is a researcher at the forefront of autonomous systems and intelligent robotics, with a focus on integrating artificial intelligence with precision control mechanisms. His work bridges the gap between real-world navigation and high-accuracy automation. In his highly cited 2016 paper, "GPS based autonomous vehicle navigation and control system" (12 citations), Haq developed a pioneering routing system that directs the nearest vacant cab to a passenger via an Android application, laying foundational work for modern ride-hailing autonomy. More recently, his 2025 review, "Intelligent robotic positioning through AI-enhanced metrology" (4 citations), critically examines how AI, sensor fusion, and adaptive calibration can overcome challenges like environmental variability and sensor drift in robotic positioning. This work underscores his commitment to advancing high-precision automation for dynamic industrial settings. Haq’s research is notable for its practical, application-driven approach—transforming theoretical AI and metrology concepts into deployable solutions for autonomous navigation and robotic control. His contributions are shaping the next generation of intelligent, self-correcting systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
GPS based autonomous vehicle navigation and control system
12 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, University of Calabria

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago