Abdulhadi Bashathi

After KAUST Academy

Abdulhadi was a teaching assistant for KAUST Academy's Introduction to AI program in January 2025, then Head of Teaching Assistants for the Advanced AI program at King Abdulaziz University. Abdulhadi graduated in Electrical Engineering (Computers) in June 2025 with first-class honors.

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.

Read the final report (PDF)

See it in the program report (PDF)

With KAUST Academy

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