Moin Uddin

Delhi Technological University, Hamdard University, Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Jamia Hamdard

Papers

Total Citations

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About

Moin Uddin is a robotics and autonomous systems researcher whose work sits at the intersection of sensor fusion, mobile robotics, and environmental perception. His most influential contribution, "Multisensor Data Fusion and Integration for Mobile Robots: A Review" (2014), has garnered 24 citations and stands as a comprehensive examination of how autonomous robots integrate data from multiple sensors to navigate and adapt within unstructured environments — a fundamental challenge in real-world robotics deployment. Complementing this, his 2014 work on dedicated filtering techniques for occupancy grid mapping addresses the critical problem of translating raw sensor range data into coherent internal environmental representations, earning 8 citations among robotics researchers. Uddin's earlier work on object identification in dynamic environments (2010) demonstrates a longstanding commitment to understanding how sensor fusion enables robust object recognition despite orientation changes, sensor noise, and varying environmental conditions. More recently, his comparative analysis of the da Vinci surgical robot's arm end effector matrix using Python and MATLAB reflects an expanding interest in medical robotics and computational modeling tools. Across his career, Uddin has consistently contributed foundational knowledge to autonomous robot perception, making his work particularly valuable for researchers and students entering the mobile robotics field.