Mohammed Abdel Kareem Jaradat
Papers
1
Total Citations
16
H-Index
1
About
Mohammed Abdel Kareem Jaradat is a leading researcher in autonomous mobile robotics, with a primary focus on intelligent path planning and real-time obstacle avoidance for indoor environments. His work addresses the critical challenge of enabling robots to navigate dynamic spaces with exceptionally fast processing cycles. His most notable contribution is the development of a reduced cascaded fuzzy logic controller for dynamic window weights optimization. This innovative approach refines the classic dynamic window approach—a sophisticated method for obstacle avoidance—by using fuzzy logic to dynamically adjust the objective function that selects the optimal velocity. By optimizing these weights in real time, Jaradat’s method significantly enhances a robot’s ability to react to unpredictable obstacles while maintaining smooth, efficient trajectories. This seminal work, published in 2018, has garnered 16 citations, reflecting its impact on the field. Jaradat’s research is instrumental in advancing the reliability and speed of autonomous navigation systems, making him a key figure in the development of more intelligent and responsive mobile robots for complex indoor settings.
Research Focus
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Top Papers
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