Khaled Al-Shalfan

Imam Mohammad ibn Saud Islamic University

Papers

Total Citations

133

H-Index

About

Khaled Al-Shalfan is a researcher specializing in robotics, artificial intelligence, and autonomous systems, with a particular focus on mobile robot navigation and multi-robot coordination. He is best known for his pioneering development of **smartPATH**, a hybrid algorithm that ingeniously combines Ant Colony Optimization (ACO) and Genetic Algorithms (GA) to solve the complex global path planning problem for mobile robots. This work, published across two highly influential papers in 2012 and 2014, has collectively amassed nearly 120 citations, underscoring its significant impact on the robotics and computational intelligence communities. By merging the strengths of two powerful metaheuristic approaches, Al-Shalfan's smartPATH framework delivers more efficient and optimized navigation solutions than either technique achieves independently. Beyond individual robot navigation, his research extends to cooperative robotics, notably investigating how Wireless Sensor Networks (WSNs) can facilitate coordination among multiple robots in real-world surveillance scenarios, including target tracking applications. His body of work reflects a consistent commitment to bridging theoretical optimization methods with practical autonomous systems challenges, making his contributions valuable to researchers and engineers working at the intersection of artificial intelligence and robotics.