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This book offers a solid, integrated introduction to the main concepts, techniques and applications of artificial intelligence (AI) in the context of robotics and computer vision. Combining theory and practice, the book goes from the fundamentals of AI - such as machine learning, neural networks and heuristic algorithms - to its implementation in autonomous systems capable of perceiving, interpreting and interacting with the environment. Aimed at students, researchers and professionals in the areas of computing, engineering and technology, the book presents practical examples, case studies and applied codes, making it easier to understand the challenges and solutions involved in developing intelligent robots and artificial vision systems. The book also discusses ethical and social aspects related to machine autonomy and data-based decision-making. By connecting technical fundamentals with real applications, this book establishes itself as an essential reference for those wishing to work on the frontier of technological innovation, contributing to the advancement of intelligent automation in various areas.