ROBOTICS AND MACHINE LEARNING
Introduction :- Robotics and machine learning are the technologies that have brought a drastic change in the world. These technologies are gaining popularity and also enhancing the curiosity among the students. The advent of these technologies has been possible because of the advancement in science and creativity of humans.
What Is Meant By Robotics And Machine Learning?
Robotics :- Robotics is regarded as a branch resulting from the combination of computer science and engineering. This field includes designing, construction, operation, and utilization of robots. The branch robotics involves the integration of the concepts of several fields like mechanical engineering, electrical engineering, information engineering, electronics, bioengineering, control engineering, mathematics, software engineering, etc. The major vision was to design a machine that would assist and guide human beings in doing different tasks. It can not only help human beings but also take the place of human beings as they can perform in a similar way humans do.
Machine Learning :- It is also stated as a component of Artificial Intelligence. It is regarded as the learning of computer algorithms by machines. If we talk of human beings, we do not know about everything immediately after our birth. It takes time to learn about every task that we do in our daily life. The concept of machine learning is also based on the same thing. Machines are made to learn about computer programs by providing the data so that they can be able to do the same without any guidance. Gradually they also improve their performing capability day by day. The concept of machine learning is applied in different sectors at present as it reduces the workload of human beings and makes their work easier.
Robotics And Machine Learning - History :- The basic concept of practical robotics was structured in the year 1948 by Norbert Wiener. The self-dependent robots first came into existence in the mid of 20th century. Unimate was regarded as the first digitally operated and a programmable robot that was designed in the year 1961. At present, there are several robots that are used in different sectors for performing different tasks. Mostly the use of robots is done in tasks that are difficult, dangerous or risky for human beings. Machine learning is an essential component of robotics. The word Machine learning for the first time came into existence in the year 1959 and the credit of the creation of this term goes to Arthur Samuel, an American expert in computer gaming and artificial intelligence. Machine learning was also stated as the self-teaching of computers. It was said that the machine will learn from the experiences. This experience will be attained by performing the tasks. The more the experience, performance will be better. Machine learning is an essential component that gives rise to artificial intelligence. Machine learning is designated as a different sector and it gained popularity in 1990’s. It is often observed that the Artificial intelligence term is used many times to state machine learning but both are different terms. The intelligent part of machine learning can only be said to be artificial intelligence.
Conclusion :- Robotics with the application of AI and machine learning is now considered the best option in different industries. This advancement in robotics will soon be able to produce such robots that will be exactly similar to human beings. It is evident that productivity, quality, and work all increase by the use of modern robotics, and this helps in excelling in different sectors. Every technology has some positive and negative effects and the same is applicable to the technologies named Robotics and Machine Learning. These two branches of technology are gradually attaining a great height but there are also some challenges associated with them. We must try to bring these technologies into our use only when needed. This will surely prevent the entire humanity to suffer from their drawbacks.
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