After KAUST Academy
Yaqoub completed the DeepLearning.AI Machine Learning Specialization and the Neural Networks and Deep Learning course in March 2025.
Summer project
Artificial Intelligence Specialization · Cohort 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.
With KAUST Academy
- Cohort 2024
Artificial Intelligence Specialization
King Abdullah University of Science and Technology · Artificial Intelligence Summer School
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