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Artificial Intelligence–Driven Robotics: Foundations, Architectures, Applications, and Future Directions

Ms. Yogita Verma

Assistant Professor

Department of Computer Science and Applications

Guru Nanak Khalsa College, Yamunanagar

Email: yogitavermagnkc@gmail.com

Abstract

The integration of Artificial Intelligence (AI) with robotics has led to a paradigm shift in the design, autonomy, and applicability of modern robotic systems. Traditional robots were largely rule-based, operating in structured environments with predefined instructions. In contrast, AI-driven robots exhibit perception, learning, reasoning, and adaptive decision-making capabilities, enabling them to function effectively in dynamic and uncertain environments. This chapter presents a comprehensive exploration of AI-powered robotics, focusing on foundational concepts, system architectures, core AI techniques, and real-world applications across healthcare, industry, agriculture, defense, and service sectors. The chapter further discusses ethical considerations, technical challenges, and future research directions, highlighting how AI-driven robotics contributes new knowledge and innovative perspectives to automation and intelligent systems. The study emphasizes the role of machine learning, deep learning, computer vision, and reinforcement learning in enhancing robotic autonomy, thereby shaping the future of intelligent machines.

Keywords: Artificial Intelligence, Robotics, Machine Learning, Autonomous Systems, Computer Vision, Reinforcement Learning