Mohammad Shaqura
Papers
4
Total Citations
30
H-Index
2
About
Mohammad Shaqura is a robotics researcher whose work bridges design innovation and autonomous control for unmanned aerial and ground systems. His primary research areas include multirotor UAV design, robotic manipulation, and motion control for complex nonlinear systems. Shaqura’s most impactful contribution is an automated quadcopter CAD-based design and modeling platform, developed using SolidWorks API and smart dynamic assembly (19 citations). This work provides researchers with a low-cost, customizable framework for rapid prototyping of micro aerial vehicles, enabling broader access to UAV research. He also introduced a novel gripper design for multi-hand tool grasping under tight clearance constraints and external torque effects (7 citations), addressing a critical challenge in industrial manipulation tasks. Shaqura further advanced UAV control with an iterative learning approach for motion control and performance enhancement of quadcopters (2 citations), tackling the difficulties of modeling agile, nonlinear dynamics. His work on perception, navigation, and manipulation was demonstrated in the team KAUST approach to the MBZIRC ground robotics challenge (2 citations), where an autonomous ground vehicle successfully located a panel, selected the correct wrench, and rotated a valve. Shaqura’s contributions are particularly valuable for researchers in field robotics, offering practical solutions for design, control, and autonomous task execution.
Research Focus
Key Achievements
Top Papers
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