We have heard about Robotics, Artificial Intelligence, and Machine learning. Many of us think that they are the same but they are not the same at all. These three are different in all the ways possible. These are the three different fields of science that can be merged together to create an ultimate machine.

These three can be used to create a unified system that is capable of performing tasks independently, and without any human intervention. Once unified the system will be able to think independently. These three machines will be able to fight the latest computer virus automatically.

In this article we will learn about these three different fields of science that are connected in many ways.

What Is Robotics?

Robotics is a field of science that deals with designing, construction, operation and usage of robots. Robots are the devices that are tasked to carry out different actions automatically.

Important aspects of robots that make a robot a robot.

  1. Robots take information from the physical world using the input devices like sensors, and cameras to interact with the physical world.

  2. Robots can be programmed according to needs.

  3. Robots are automatic devices, sometimes they can be semi-automatic.

Robots basically are automatic devices but some of them are not so automatic. Robots that are controlled by humans are called telerobots. Telerobots are still classified as a branch of robots; this is where the definition of robots gets mixed up.

Different experts have different opinions about robots, so it is difficult to get experts on the same page about what constitutes a robot. Some experts say robots should be able to make decisions on their own and think. If the robot has the ability to think on its own then there the robot has artificial intelligence.

However, if we try to define robotics then we can say that robotics is a branch of science that involves designing, programming, and building a device that is capable of performing given tasks. Robots may involve artificial intelligence. With the merging of Robots and Artificial intelligence robots will be able to perform tasks independently. Robots with Artificial intelligence will be able to help humans with the tasks independently.

What Is Artificial Intelligence?

Artificial intelligence (AI) is a field of science that deals with study of intelligent machines. Artificial intelligence (AI) refers to the development of the computer programs that makes the machines think and work like humans. Algorithms that are created with Artificial intelligence (AI) will help machines to learn, solve problems, observe, understand, or reason.

Artificial intelligence (AI) is being used in the modern world. Artificial intelligence (AI) is being used in the Google search, Amazons engines, and navigation. Currently AI is not being used in robots extensively. Artificial intelligence can be used with Robots to create independent devices that are capable to

When Artificial intelligence (AI)is being used to control robots, Artificial intelligence (AI) is a part of a large system that includes sensors, actuators, and non-AI programs.

Many times, in the Artificial intelligence (AI) programs, Machine learning is used where the algorithm of a program is created to think and give response to the inputs given is a certain way.

Non-Artificial intelligence (AI) programs will only carry out simple tasks according to simple instructions. However, if Artificial intelligence (AI) is used then machines will be able to complete certain tasks without human interaction. AI adds a certain amount of human intelligence into the machine.

What is Machine learning?

Machine learning is a branch of Artificial intelligence (AI) that works by extracting knowledge from the data. Machine learning is defined as a branch of Artificial intelligence (AI) that enables to learn from the available data and information without being programmed.

Machine learning helps the computer system to learn, predict, and takes decisions using the past data without providing some instructions or being programmed. In order to learn and give results machine learning needs to have an enormous amount of organized and unorganized data. This data is needed to generate results and predict outcomes.

Machine Learning is made up of algorithms that help machines to learn on their own using the past data. Currently, Machine learning can predict outcomes specific to a single model. Let’s say if we create a program to detect pictures of a car then it will only detect the pictures of a car. However, if we add the pictures of a cat then it will become unresponsive. Today machine learning is used in the online systems like Google search, navigation, Facebook, email spam filter, etc.

Machine learning is divided into three types.

  1. Supervised learning

  2. Reinforcement learning

  3. Unsupervised learning

Let’s learn about these three:

In Supervised learning a system is provided with the data and given some sorting parameter. A system can be given a picture of something then it will learn to identify them and the machine will be trained accordingly.

In an unsupervised learning machine, a system would not be given any data. Instead it will be given a database and the machine has to do the task unsupervised. The machine will do this by taking similar data together and creating the rules along the way.

In Reinforcements, the learning machine is given a set of rules and based on the rules the system gives the results.


Robotics, Artificial Intelligence, and Machine learning are three different fields of science. These three different fields of science are being used in business and other organisations to improve productivity and increase their knowledge.