Ahmad Salim

Papers

Total Citations

H-Index

About

Ahmad Salim is a researcher whose work sits at the intersection of robotics, optimization, and artificial intelligence. His primary research focus is on developing efficient path-planning algorithms for autonomous systems, with a particular emphasis on leveraging meta-heuristic optimization techniques. In his most cited work, "A Robotic Path Planning by Using Crow Swarm Optimization Algorithm" (2021, 8 citations), Salim addresses a fundamental challenge in robotics: determining the optimal, cost-minimizing route from a starting point to a destination. By adapting the Crow Swarm Optimization Algorithm—a nature-inspired meta-heuristic—he demonstrates a novel approach to solving this complex search problem, offering a robust alternative to traditional methods. This contribution is significant for its potential to improve the efficiency and autonomy of robotic systems in real-world applications, from manufacturing to exploration. While his citation count is modest, the work reflects a thoughtful engagement with cutting-edge computational techniques, positioning Salim as a promising voice in the ongoing effort to make robots smarter and more adaptive.