بعد أكاديمية كاوست
As of October 2026, Mohammed works at Lucid Motors Middle East. Mohammed's studies at King AbdulAziz University ran until October 2024.
المشروع الصيفي
تخصص الذكاء الاصطناعي · دفعة 2024
Fault Detection for Industrial Robotic Arm
In industrial settings, ensuring the safety and efficiency of robotic arms is crucial for minimizing risks and downtime. This research explores the use of AI to diagnose and predict faulty arm poses, offering a proactive solution to prevent hazards and enhance operational efficiency. Traditional sensor-based systems can be compromised by environmental factors, leading to undetected faults and costly inefficiencies. By applying advanced AI models for pose estimation and fault detection, this approach aims to improve the safety and reliability of robotic operations. The methodology emphasizes two critical aspects of the dataset: background consistency and object similarity to the robotic arm, ensuring a robust and accurate model for industrial applications.
مع أكاديمية كاوست
- دفعة 2024
جامعة الملك عبدالله للعلوم والتقنية (كاوست) · المدرسة الصيفية للذكاء الاصطناعي
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