Journal of Artificial Intelligence, Machine Learning and Soft Computing

ABSTRACT

Artificial Intelligence (AI) has become a fundamental technology in modern robotics and autonomous systems. From industrial manipulators to self-driving vehicles and service robots, AI enables machines to perceive environment, make decisions, and act intelligently with minimal human control. The combination of machine learning, computer vision, sensor fusion, and control algorithms allows robots to perform complex tasks in uncertain and dynamic environments. This paper reviews the major role of AI techniques in robotics, including perception, planning, navigation, learning, and human-robot interaction. It also discusses applications in manufacturing, healthcare, agriculture, military, and domestic assistance. Challenges such as safety, energy efficiency, computational limits, and ethical issues are also examined. The study presents recent trends and future directions of AI-enabled robotics systems.

KEYWORDS: Artificial Intelligence, Robotics, Autonomous Systems, Machine Learning, Computer Vision, Path Planning, Human-Robot Interaction