This paper on Artificial Intelligence (AI) in Robotics explores the integration, progress and implications of AI-driven systems. Starting with a clear definition and tracing the evolution of artificial intelligence in robotics, the importance and different applications in different sectors are highlighted. The fundamentals of artificial intelligence, including machine learning, deep learning, and neural networks, lay the foundation for understanding how artificial intelligence enhances robotic capabilities by integrating sensors and advanced decision-making algorithms. Different types of AI-powered robots, such as industrial robots, service robots, autonomous vehicles and drones, are discussed to show the versatility of the technology. A chapter on AI technologies in robotics looks at computer vision, natural language processing, reinforcement learning, and swarm robotics, illustrating cutting-edge innovations that are driving the field forward. Challenges and ethical considerations are critically analysed, addressing ethical issues, bias, fairness and safety concerns. Real-world case studies provide concrete examples of successful implementations and innovations. Finally, a discussion of future trends and developments presents new technologies, prospects for progress, and the expected impact on industries and society. The conclusion summarizes key points and offers an optimistic view of the transformative potential of artificial intelligence in robotics, emphasizing the need for ethical and inclusive growth.