AI and Robotics: Synergies for a Smart Future Simran Subhash Pathak 1 , Sakshi Piyush Shah 2 , Amritpal Singh Virdee 3 1. Assistant Professor, ITM Business School, Navi Mumbai, India 1. simranp@itm.edu 2, 3 Student, ITM Business School, Navi Mumbai, India 2. 2022.sakshishah@itm.edu, 3. 2022.amritpalv@itm.edu Abstract : This paper provides a summary of Importance on AI and Robotics: Synergies for a Smart Future. Artificial intelligence is a part of software engineering, which grows such machines who thinks and works same like people. At the point when we set up a framework who can play out all human exercises are called artificial intelligence or we can say when a PC is modified in such a manner, so it can play out all human errands are called artificial intelligence. Intelligence power in people drops by thinking, seeing, contacting and learning by past encounters and intelligence in PC frameworks is created through which Mechanical framework or PC framework is ready. Artificial intelligence is called as our future yet on the off chance that we notice artificial intelligence is our present since as of now we have begun utilizing artificial intelligence Application in our everyday daily practice for our benefit. For instance, Siri, Alexa Device, Google map, Google assistance and so on are the best instances of Artificial Intelligence. In this research paper we will examine exhaustively about Man-made intelligence its sorts and genuine application which is as of now being used. Data which shows the use AI & Robotics in many industries on which the study was primarily focused upon. After the extensive screening of 30 papers 25 papers were chosen for the review process. Keywords — Artificial Intelligence, Robotics Machine Learning, Technology, Innovations. I. INTRODUCTION Alan Turing defined intelligence by addressing another inquiry which is broadly called the impersonation game (Alan Turing, 1950). Might a computer at any point fool an individual and copy as a male or a female person? Numerous thinkers like Descartes additionally gave an early form of this thought, making sense of how robots or dynamic machines might mirror human choices and activities, yet might very well never make it happen as well as people do.[1] John McCarthy, who is otherwise called the father of computer-based intelligence, is cited as saying, "Intelligence is the computational piece of the capacity to accomplish objectives on the planet. Differing sorts and levels of intelligence happen in individuals, numerous creatures, and a few machines." He further characterizes simulated intelligence as - "... the science and designing of making insightful machines, particularly savvy computer programs." (John McCarthy, 1981) Basically got it, simulated intelligence is in this manner the capacity of a computer program to mirror human direction and keenness and mechanize that interaction. There is basic numerical behind learning loads, numbers, or multipliers that give the ideal yield when given the info. These "loads" or "multipliers" can be advanced by math, or hard-coded by a developer like static edges.[2] We see computer-based intelligence in our everyday undertakings and use simulated intelligence wherever automatically - spam separating in messages, autocomplete and successful google look, online shopping recommendations, playing chess against the computer, mobile banking, GPS suggested courses frameworks et cetera. Right from opening your telephone with face ID to asking utilizing chatbots on helpdesks, we are encircled by man-made intelligence whether we understand it or not.[3] II. LITERATURE REVIEW Sub Fields of Artificial Intelligence a. Machine Learning • Machine Learning is a sub-field of artificial intelligence that depends on the idea that frameworks/machines can gain from information, recognize examples, and pursue choices with smidgen or no human impedance. We give machines admittance to data and permit them to find out on their own. [4] • It's absolutely getting a computer to play out an undertaking without explicitly programming it to do as such. Over the most recent quite a while, machine learning has brought us self-driving vehicles, picture and discourse acknowledgment, helpful online inquiry, and various other applications.[4] b. Neural Network • The neural network is a piece of artificial intelligence that utilizes nervous system science - a piece of science that concerns the nerve and sensory system of the human cerebrum. It incorporates cognitive science into machines to follow through with the responsibilities.[3][5] • The neural network mirrors the human mind, which has an interminable number of neurons, and the neural networks intention is to code mind neurons into a framework or computer.[6] • Neural Networks are broadly utilized for risk examination, extortion recognition, stock-trade, deals expectation, and numerous other purposes.[7]