Journal of Artificial Intelligence, Machine Learning and Soft Computing

Abstract

The integration of Artificial Intelligence (AI) into robotics has revolutionized the capabilities of machines, enabling them to perform complex tasks autonomously in dynamic and uncertain environments. This paper explores the multifaceted domain of robotics and autonomous systems with an emphasis on AI-driven approaches to motion planning, sensor fusion, and real-time decision-making. It delves into how intelligent algorithms empower robots to navigate, adapt, and execute tasks without human intervention. The discussion highlights core advancements in perception systems, control algorithms, deep learning, and reinforcement learning, which together enable autonomous behaviors. This paper also reviews challenges such as environmental uncertainty, safety, and explainability in autonomous actions, offering insights into future trends and applications in sectors like transportation, manufacturing, healthcare, and defense.

Keywords: Robotics, Autonomous Systems, Artificial Intelligence, Motion Planning, Sensor Integration, Real-Time Decision-Making, Perception, Machine Learning, Autonomous Navigation