Abdelaziz Shaarawy
University of Birmingham, Nile University, Innopolis University
Papers
5
Total Citations
62
H-Index
3
About
Abdelaziz Shaarawy is a robotics researcher at the forefront of sustainable manufacturing and intelligent manipulation. His primary research areas include telerobotics, deep learning for robotic control, and motion planning in constrained environments, with a particular focus on the circular economy challenge of electric vehicle (EV) battery disassembly. Shaarawy’s most impactful work addresses the critical bottleneck of lithium-ion battery recycling, proposing a tele-robotic framework that leverages extended reality and haptic feedback to safely dismantle complex, non-standardized battery packs (40 citations). He has also made significant contributions to solving inverse kinematics for high-degree-of-freedom manipulators using convolutional neural networks (14 citations) and developed robust pick-and-assembly systems that combine YOLO-based deep learning with hybrid vision/force control. His recent innovations include task-aware motion planners that integrate Gaussian Mixture Models with RRT algorithms to improve efficiency in constrained spaces, and a comprehensive teleoperation system for EV battery cell handling that fuses haptics, XR visualization, and adaptive trajectory generation. Shaarawy’s work directly addresses the growing need for automation in sustainable technologies, positioning him as a key contributor to the future of robotic remanufacturing.
Research Focus
Key Achievements
Top Papers
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