Alaa O. Khadidos

King Abdulaziz University, University of Baghdad

Papers

Total Citations

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About

Alaa O. Khadidos is a pioneering researcher in autonomous robotics and aerial manipulation, with a focus on integrating advanced perception, control, and mechanical design. His key research areas include autonomous navigation, computer vision, and robotic grasping, where he has made notable contributions to both ground and aerial systems. In his highly cited work "OATCR: Outdoor Autonomous Trash-Collecting Robot Design Using YOLOv4-Tiny" (51 citations), Khadidos introduced an innovative Rocker-bogie mechanism for resilient trash collection, comparing Mask-RCNN, YOLOv4, and YOLOv4-tiny for real-time detection, achieving full autonomy. His more recent studies advance aerial robotics: "On‐Board Digital Twin Based on Impedance and Model Predictive Control for Aerial Robot Grasping" (4 citations) pioneers real-time prediction of gripper-payload interactions, while "A new tilted aerial robotic platform: Modeling and control" (2 citations) addresses orientation stability challenges in aerial manipulators. Khadidos’ work bridges theory and application, offering practical solutions for environmental cleanup and dynamic object handling, with growing impact in robotics and automation.