Mohammed Alqarni

Papers

Total Citations

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About

Dr. Mohammed Alqarni’s research centers on the optimization of autonomous systems, with a particular focus on drone path planning for logistics and mobile robot navigation. His most cited work, though retracted, addressed a critical challenge in autonomous robotics: developing efficient, secure navigation strategies using evolutionary techniques and turning-point algorithms. This study highlighted the growing importance of replacing humans in hazardous tasks with intelligent robots, a theme that underpins his broader contributions to the field. Despite the retraction, the paper garnered attention for tackling real-world issues in drone logistics, such as route efficiency and obstacle avoidance. Dr. Alqarni’s work reflects a commitment to advancing practical solutions for autonomous systems, aiming to enhance safety and productivity in logistics and beyond. His research resonates with contemporary needs in robotics, where efficient path planning remains a bottleneck for widespread adoption. While his citation count is modest, his focus on evolutionary optimization techniques and turning-point methods offers valuable insights for students and researchers exploring autonomous navigation. Dr. Alqarni’s efforts underscore the iterative nature of scientific progress, where even retracted studies can spark dialogue and refinement in emerging technologies.