Imran Qayyum Mundial

National University of Sciences and Technology

Papers

Total Citations

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About

Imran Qayyum Mundial is a prominent researcher in mobile robotics, with a focused expertise in sensor selection and navigation systems for autonomous platforms. His most-cited work, “Investigation of Widely Used SLAM Sensors Using Analytical Hierarchy Process” (2022, 16 citations), addresses a critical challenge in robotics: choosing optimal sensors for Simultaneous Localization and Mapping (SLAM) in diverse applications like agriculture, surveillance, defense, and planetary exploration. By applying the Analytical Hierarchy Process, Mundial provides a systematic, multi-criteria decision-making framework that helps engineers and researchers evaluate trade-offs between sensor accuracy, cost, and robustness. This contribution is vital for ensuring uninterrupted, reliable navigation in real-world environments. Beyond this flagship study, his research continues to advance the practical deployment of mobile robots, bridging the gap between theoretical SLAM algorithms and hardware implementation. His work is frequently referenced by peers seeking to optimize sensor suites for field robotics, underscoring its impact on both academic research and industrial design. For students and researchers entering the field, Mundial’s investigations offer a clear, methodical approach to one of robotics’ most persistent engineering dilemmas.