AI and IoT-Based Intelligent Automation in Robotics. Группа авторов

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are a few types of robots which are operated by the user’s instruction via telephone.

       There are a few robots which perform specific moves based on the instructions given upon starting.

       There are a few robots which only perform the tasks specified by one person. Whichever task is specified first by the instructor is identified by the robot as the task specified, which is stored in its memory and performed as the stored task. Such types of robots are called “task level autonomous.”

       There are a few robots which do whatever task it is instructed to do by the user; such types of robots are called “fully autonomous” [13].

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      *Corresponding author: [email protected]

      Techniques in Robotics for Automation Using AI and IoT

       Sandeep Kr. Sharma, N. Gayathri*, S. Rakesh Kumar and Rajiv Kumar Modanval

       School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, India

       Abstract

      Gone are the days when people use manual methods to perform every task; now the world has evolved and we have advanced technologies like artificial intelligence (AI) and the internet of things (IoT) that have changed our world outlook. With the rapid advancement in technology, we are gifted with lots of modern technologies that are being integrated into our day-to-day lives, making it much easier.

      In this chapter, we will discuss various techniques used for automation, like AI and the IoT, which form the basis for robotics. There’s a technique called robotic process automation (RPA) which is very popular nowadays, which can be used to automate any computational process. One software that is used to practice and build the RPA system is UiPath Studio, which comes in handy for all sorts of scripts and contains many tools that can be used to make automated bots. Apart from that, we will be discussing and proposing some other such techniques and studying the requirements for AI and IoT in the automation of robots.

      Defining the roles and algorithms in integration with machine learning (ML), we will also be looking at some case studies and various other applications for automation in different scenarios. With the increase in the popularity of AI, the day is not very far off when we will have a replacement for humans—not only a replacement, but also a more advanced form of humans. Today, robots are so smart that they are capable of mimicking human behavior and are so efficient that it will take a normal human about 100 to 1000 times more time to complete the task. In this way, they are making our lives so easy and comfortable.

      Keywords: Artificial intelligence (AI), internet of things (IoT), robotics, automation, robots, machine learning

      Technically the word automation

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