On Monday morning, Jul 7, 2025, the College of Al-Khwarizmi defended the thesis presented by the student Muhammad Saeed Najem in the Mechatronics Engineering department, and it is titled “Target tracking relying on dynamic robots using Bayesian filter,” and a degree was awarded with good evaluation for his findings.
The thesis demonstrated a viable topic in computational vision and AI applications where tracking dynamic objects is a milestone in intelligent robot systems, and it has a direct effect in actual environments.
The researcher relied on Bayesian filter in his study as an advanced probabilistic framework to handle challenges related to invisibility, light change, and unpredictable object motion by a camera fixed on a movable robot.
The study showed promising capability of this algorithm in enhancing tracking accuracy and overcoming environmental obstacles. However , through examinations the researcher faced some of technical challenges related to programming algorithm and integrating it with the tracking system.
Furthermore, the final results demonstrated high efficiency of the proposed system in terms of flexibility and response, which reflects noticeable development in comparison to conventional approaches used in this field.
The thesis ended with a set of results emphasizing the feasibility of relying on Bayesian filter in designing a crucial tracking system relying on movable robots.
Additionally, the researcher recommended the need for moving toward more complicated and actual environments in future experiments by adding natural obstacles and conditions equivalent to real-life scenarios, as this would contribute to increasing the efficiency of intelligent systems for unmanned vehicles and related applications.
