AI in Robotics: Neural Networks for Autonomous Robot Behavior

Abstract

The integration of artificial intelligence (AI) and robotics has revolutionized the development of autonomous robotic systems. Neural networks, particularly deep learning techniques, are a key component in enabling robots to perform complex tasks with minimal human intervention. This article explores the role of neural networks in autonomous robot behavior, including decision-making, perception, navigation, and task execution. We discuss how neural networks enable robots to learn from their environments, improve their functionality over time, and perform tasks autonomously in various applications, such as manufacturing, healthcare, and service industries.