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About

Mohd Faisal Ibrahim is a robotics and intelligent systems researcher whose work spans autonomous navigation, LiDAR sensing, robotic manipulation, and human-robot interaction. He is perhaps best known for his landmark survey on LiDAR scanning mechanisms (2020), which has amassed over 387 citations and has become an essential reference for researchers working across robotics, autonomous vehicles, and remote sensing. This work reflects his deep expertise in sensor technologies that underpin modern autonomous systems. Beyond sensing, Ibrahim has made meaningful contributions to robotic kinematics and manipulation, exploring trajectory planning, dimensional optimization of robot manipulators, and 6D pose estimation using deep learning — areas critical to advancing industrial and agricultural automation. His work on lower limb exoskeletons and bilateral teleoperation further demonstrates a commitment to applying robotics in assistive and hazardous environments. Early work on autonomous mobile robot navigation using genetic algorithms and LiDAR feedback highlights his long-standing interest in optimization-driven autonomy. Ibrahim also contributes to robotics education, having investigated experiential learning approaches to strengthen programming skills among engineering undergraduates. Collectively, his research portfolio reveals a scholar who bridges theoretical rigor with practical application, shaping the next generation of intelligent robotic systems and the engineers who will build them.