A thesis defense was held at Al-Khwarizmi College, Baghdad University, by the student Haider Ali Saadi, a master’s candidate in Automated Manufacturing Engineering, on Tuesday morning, July 1, 2025. The thesis titled “Gantry Robot and Conveyor System for Grasping Objects of Different Dimensions and Orientation,” and the student was awarded a pass with merit for his research findings.
In this thesis, an automated system is proposed consisting of an XYZ gantry robot equipped with infrared (IR) sensors, force-sensitive resistors (FSR), and inductive proximity sensors, designed to measure and handle objects of varying sizes and textures. The system operates in an open-loop control mode in real-time, meeting the requirements for responsiveness and accuracy in industrial applications.
The system was tested on five different objects (BOX1–BOX5) under various environmental conditions, including light fluctuations and mechanical vibrations. These results demonstrate the system’s ability to detect objects and sort them in industrial environments.
The system is also applicable for sorting, inspection, and automated assembly in smart factories. The thesis further proposes enhancing the algorithm through adaptive control strategies for improved performance in different industrial challenges.
The thesis aims to improve object classification and detection using smart sensor techniques, reduce environmental factors affecting measurement accuracy, and develop a control system for precise grasping of dynamic objects. It also includes comprehensive testing of performance in terms of response time and efficiency across various industrial environments.
This achievement marks a significant step toward fostering innovation in intelligent robotic systems and presents scalable, applicable solutions for the industry’s smart manufacturing.
