Faisal Rehman

National University of Sciences and Technology

Papers

Total Citations

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About

Faisal Rehman is a researcher whose work sits at the intersection of precision mechanics and autonomous robotics. His primary research areas include the functional assessment of industrial machinery and the development of robust Simultaneous Localization and Mapping (SLAM) systems for mobile robots. Rehman’s most impactful contribution is his pioneering approach to measuring functional parameters for ball-screw drives, a critical component in high-precision manufacturing, which has garnered 10 citations. In the realm of robotics, he has made significant strides in enabling autonomous navigation without prior environmental knowledge. His work on multi-sensor SLAM, which integrates Extended Kalman Filters with RGBD-SLAM to solve landmark localization and build both 2D and 3D maps, has been cited 9 times. Further extending his impact into agricultural technology, Rehman implemented a SLAM technique for an autonomous agribot within a simulated Gazebo environment, achieving 7 citations. This work is particularly notable for its focus on reducing human effort and improving crop yield through fully autonomous operation. Collectively, Rehman’s research demonstrates a clear trajectory from foundational mechanical diagnostics to advanced, application-driven autonomous systems.