Application of Cloud Robotics in Autonomous Vehicles

Abstract

Cloud robotics has emerged as a transformative technology in the realm of autonomous vehicles, presenting a paradigm shift in the way these vehicles perceive, navigate, and make decisions. The chapter provides a comprehensive analysis of the key components, advantages, and challenges of integrating cloud robotics into autonomous vehicles. Cloud robotics leverages the power of real-time data processing, machine learning, and scalability. It enhances the safety, efficiency, and cost-effectiveness of autonomous vehicles. However, it also introduces challenges, such as latency, security, and connectivity, which demand innovative solutions. The chapter also discusses the application of advanced technologies in decision-making, model training, adaptability, and the learning process. It also addresses the regulatory and ethical considerations surrounding autonomous vehicles, examining government regulations and the broader societal implications of this technology.