This book explores MATLAB as a powerful platform for vision and control applications, presenting how computational tools are used to model, analyse, and implement intelligent systems. It examines the principles that underpin robotic perception and motion, highlighting the role of mathematical modelling in understanding position, orientation, and system behaviour. The discussion considers how algorithms are applied to process visual information, enabling systems to interpret environments and respond with precision. It also reflects on the integration of control theory with computational methods, illustrating how dynamic systems are regulated to achieve stability and accuracy in operation. Attention is given to the application of these concepts in industrial and automated contexts, where efficiency, adaptability, and reliability are essential. By linking programming techniques with engineering principles, the text offers a structured understanding of vision and control systems.

The book aims to develop the reader’s technical competence and analytical insight, enabling effective use of MATLAB for modelling, simulation, and control in robotics and advanced engineering applications.