Artificial Intelligence, Machine Learning and Deep Learning in Advanced Robotics, A Review

Abstract

The area of high-tech robots has been utterly transformed by AI, ML, and DL in the last several years. The use of AI, ML, and DL is revolutionizing the area of advanced robotics, allowing for more capable, efficient, and adaptive robots that can handle complicated jobs and surroundings with ease. Advanced robotics uses AI, ML, and DL for tasks such as predictive maintenance, object identification and manipulation, autonomous navigation, and natural language processing. Cobots, or collaborative robots, are another product of this technological era; they are designed to operate in tandem with humans and can adjust to new jobs and surroundings. Advanced transportation systems may benefit from the application of AI, ML, and DL to make travel safer, more efficient, and more convenient for everyone involved. Manufacturing assembly robots are also benefiting greatly from AI, ML, and DL, which are enhancing their intelligence, safety, and efficiency on the job. Additionally, they are useful in many areas of aviation management, where they assist airlines in becoming more efficient, cutting costs, and satisfying customers better. Better, more efficient, and safer service for consumers may be achieved by taxi firms with the use of AI, ML, and DL. The research delves into the latest advancements in AI, ML, and DL as they pertain to sophisticated robotics systems. It also explores different ways these systems might be used to modify robots. To bridge the gaps between current studies and published articles, more study on the applications of AI, ML, and DL in advanced robotics systems is also highly recommended. In order to increase productivity in advanced robotic sectors, it is feasible to study and improve the performance of advanced robots in different applications by examining the uses of AI, ML, and DL in these systems.