Khalid A. Alsaif

King Saud University, King Abdulaziz City for Science and Technology

Papers

Total Citations

H-Index

About

Khalid A. Alsaif’s research lies at the intersection of robotics, autonomous systems, and control engineering, with a particular focus on enhancing the intelligence and endurance of robotic platforms. His work on visual servoing for robot arm manipulators addresses a critical challenge in automation: enabling precise control without requiring pre-computed depth information. By integrating the image Jacobian with the plant Jacobian into a single control algorithm, Alsaif’s 2011 paper on controlling a 5-DOF manipulator offered a streamlined approach to real-time, vision-guided manipulation—a contribution that remains foundational for researchers working on sensor-limited environments. In the domain of aerial robotics, Alsaif explored hybrid flying robots designed for extended missions. His 2015 dynamic simulation of an Unmanned Hybrid Flying Robot (UHFR) proposed a novel configuration combining a main fuel engine for long-duration flight with traditional copter design, promising significantly increased payload capacity and flight time over conventional electric drones. While his citation counts (4 and 3, respectively) reflect a focused, early-stage impact, these works demonstrate a clear trajectory toward practical, high-endurance autonomous systems—a field where his ideas on hybrid propulsion and vision-based control continue to inform emerging research.