Ali Al‐Shaikhi

King Fahd University of Petroleum and Minerals

Papers

Total Citations

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About

Ali Al‐Shaikhi is a researcher whose work lies at the intersection of robotics, control systems, and autonomous navigation. His primary contributions focus on developing intelligent, sensor-driven strategies for mobile robots operating in complex and unpredictable environments. His most cited work, "Time-sensitive, sensor-based, joint planning and control of mobile robots in cluttered spaces: A harmonic potential approach" (2015, 9 citations), introduces an integrated navigation control system that leverages harmonic potential fields. This approach enables a mobile agent to reach a target point efficiently in unknown spaces without requiring a separate exploration phase, making it particularly valuable for time-critical missions. Al‐Shaikhi’s research addresses fundamental challenges in real-time robot motion planning, blending theoretical elegance with practical applicability. His work has been cited in studies on autonomous systems, multi-robot coordination, and advanced control algorithms, reflecting its influence on both academic research and potential industrial applications. By simplifying the navigation process in cluttered, sensor-rich settings, Al‐Shaikhi contributes to the broader goal of creating more responsive and autonomous robotic systems.