College of Computer Science and Mathematics

Discussion of the master’s thesis in the College of Computer Science and Mathematics -Department of Software Department entitled: “Development of Software System for Managing Automated Guided Vehicles (AGVs)”

In continuation of the scientific research movement and with the follow-up and presence of the Dean of the College of Computer Science and Mathematics

Respected Professor Dr. Duha Bashir Abdullah

Master’s thesis by  Ryham Ibrahim Khalil

supervised by   Dr. Naktal Moiad Edan

The thesis dealt with building and developing an intelligent system for Automated Guided Vehicles (AGV) to load, transport and distribute materials in multiple environments, such as ports, airports, production lines, warehouses and logistics sites to enhance productivity and reduce cost, effort and time in real-time while ensuring workplace safety. The work led to unique and distinctive results by ensuring reliable operation, accurate guidance, obstacle avoidance and course change based on the principles of software engineering (SE). In addition to integrating work between Software and Hardware such as sensing, detection and control to improve performance, reduce errors and enhance the vehicle’s ability to process and respond to operational data with high efficiency by detecting and classifying objects into 20 types without affecting accuracy or reliability, while achieving the functional and non-functional requirements required to monitor the environment during movement, detect and classify objects and evaluate their performance according to detection standards to verify its efficiency in monitoring vehicles autonomously. A special model was also designed for the self-guidance of the forklift. The system’s real-time performance was verified under different lighting conditions (natural, dim, and very dim) to test its detection efficiency, and its ability to navigate while avoiding obstacles was tested across three scenarios: a clear path, a path with a nearby obstacle, and a path with a very nearby obstacle. In addition, the system was evaluated on devices with varying computing resources, and the results showed its applicability in environments with different capabilities.

The discussion committee consists of

(Chairman)Dr. Laheeb Mohammad Ibrahim

(member) Dr. Eyad Hussein Abdulqader

(Member) Dr. Aseel Waleed Ali

(member and supervisor) Dr. Naktal Moiad Edan