Jawad Aslam

National University of Sciences and Technology

Papers

Total Citations

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About

Jawad Aslam is a researcher specializing in robust control systems for autonomous and off-road vehicles, with a particular focus on skid-steered vehicles (SSVs). His work addresses the critical challenge of designing controllers that maintain precision and stability despite external disturbances, such as friction variations and terrain changes. Aslam’s most-cited paper, “Fuzzy sliding mode control algorithm for a four-wheel skid steer vehicle” (2014, 16 citations), introduces a novel approach that combines fuzzy logic with sliding mode control to enhance vehicle maneuverability. Building on this, his 2021 study, “Robust fuzzy sliding mode controller for a skid-steered vehicle subjected to friction variations” (10 citations), further refines the algorithm to handle real-world friction inconsistencies, a key hurdle in applications like construction and agriculture. Together, these works have garnered over 26 citations, underscoring their relevance to the growing field of autonomous ground vehicles. Aslam’s contributions are particularly notable for their practical impact, offering scalable solutions for material handling and agricultural tasks where precise control is essential. His research bridges theoretical control theory and applied robotics, making him a valuable voice in the development of next-generation off-road vehicle systems.