Abstract
This paper explores the integration of artificial intelligence (AI) in robotics, specifically focusing on the transition from automation to autonomous systems.it provides an overview of robotics and AI, highlighting the evolution of robotics and the fundamental concepts of AI, such as machine learning, computer vision, natural language processing, and planning and decision making. It examines the role of automation in robotics, discussing different types of automation and their benefits and limitations. Furthermore, the paper delves into AI techniques in robotics, including supervised learning, unsupervised learning, reinforcement learning, computer vision, natural language processing, and planning and decision making. It also explores the concept of autonomous systems, different levels of autonomy, challenges and considerations in developing autonomous systems, and the ethical and legal implications associated with their deployment. The paper presents case studies of AI-enabled autonomous robots in various domains, such AV, industrial robots, medical robotics, agricultural robotics, and humanoid robots. Additionally, it discusses recent advances, emerging technologies, and future directions in the field of AI robotics, along with the potential impact on society and the economy. The research concludes by summarizing the findings, highlighting the contributions of the study, and providing recommendations for future research