Papers
1
Total Citations
4
H-Index
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About
Dr. M. A. Muktadir is a rising researcher in robotics and autonomous systems, with a focus on intelligent navigation and control for unmanned ground vehicles (UGVs). His key research areas include LiDAR-based perception, obstacle detection and avoidance, and model predictive control (MPC) for real-time robotic decision-making. Dr. Muktadir’s most cited work, "LiDAR-Based Obstacle Detection and Avoidance for Navigation and Control of an Unmanned Ground Robot Using Model Predictive Control" (2023, 4 citations), presents a novel framework that integrates LiDAR sensing with MPC to enhance UGV autonomy in dynamic environments, particularly for critical applications like search and rescue (SAR). This contribution addresses the growing demand for cost-effective, rapid-response robots capable of navigating complex terrains without human intervention. Though early in his career, Dr. Muktadir’s work demonstrates significant potential, offering practical solutions for safer and more efficient robotic operations. His research bridges the gap between advanced control theory and real-world deployment, making him a promising voice in the field of autonomous ground robotics.
Research Focus
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Top Papers
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