Robotics is a branch of technology that deals with physical robots, which are programmable machines that are able to carry out a series of actions easily. The three important factors which constitute a robot are; Robots interact with the physical world through sensors and actuators, they are programmable and are usually autonomous or semi-autonomous. Artificially intelligent robots are the bridge between robotics and AI that are controlled by AI programs. All industrial robots are programmed to carry out a repetitive series of movements where they do not require artificial intelligence.

Automation is using computer software, machines or other technology to carry out a task which would otherwise be done by a human worker. There are many types of automation, ranging from the fully mechanical to the fully virtual and from the very simple to the mind-blowingly complex, while Robotics is a branch of engineering which incorporates multiple disciplines to design, build, program and use robotic machines. There are obviously crossovers between the two as Robots are used to automate some physical tasks, such as in manufacturing.

Modern Artificial Intelligence explains about a true artificially-intelligent system which is one that can learn on its own. Neural networks can make connections and reach meanings without relying on pre-defined behavioural algorithms. True A.I. can improve on past iterations, getting smarter and more aware, allowing it to enhance its capabilities and its knowledge. AI is the ability of a controlled robot to perform assignments usually connected with astute creatures. At present Artificial Intelligence strategies have experienced a renaissance following parallel advances in PC control, big measures of information, and hypothetical comprehension.

Robotic Process Automation (RPA) is an Independent Intellectual Property. The first professional vendor of RPA products in China, RPA aims to solve the problem of business process automation for enterprises, greatly reducing the number of people engaged in standard, repetitive, cumbersome and high-volume work tasks. It is the purest form of automation. RPA is intended to save business and white-collar workers time. RPA is built by RPA engineers via a GUI, or a graphical interface, which they use to arrange the sequence of tasks RPA automates. For the most part, RPA is based on rules, or if-then statements that tell a program what to do under certain conditions. RPA and AI overlap in that you can infuse RPA with AI.

Machine learning and computing aims to promote the integration of machine learning and computing. The focus of the conference would be on state-of-the-art machine learning and computing. It also emphasizes the creation of intelligent machines that work and reacts like humans. Some of the activities computers with artificial intelligence are designed for Speech recognition. Machine Language and Artificial Intelligence are indeed similar. Artificial intelligence is about problem solving, reasoning, and learning in general. Machine learning is specifically about learning from examples, from definitions.

Applications of Automation describes about the most important application areas for automation technology, manufacturing and its types in production as fixed automation, programmable automation and flexible automation. Fixed automation, which is also known as “hard automation,” refers to an automated production facility in which the sequence of processing operations is fixed by the equipment configuration.