Algorithms to Autonomous Systems: Understanding the Impact of Deep Learning on Robotics and Automation

Abstract

In recent years, deep learning has revolutionized various domains, particularly in robotics and automation. This paper examines the transition from traditional algorithms to autonomous systems, highlighting how deep learning has transformed the landscape of robotics. The integration of deep learning into robotic systems has enabled machines to learn from vast amounts of data, adapt to changing environments, and perform complex tasks with minimal human intervention. By exploring the implications of deep learning on the efficiency, adaptability, and intelligence of robotic systems, this paper aims to provide a comprehensive understanding of this paradigm shift.