In a landscape of technology that is changing at breakneck speed, the combination of the internet of things (IoT) with robotics represents an important step toward future automation and intelligent systems. In this chapter, the authors explain how such an integration will change things. This combination of IoT's connected devices and robotic dynamism brings unprecedented progress in many areas, such as industrial automation and healthcare. After cutting through the technical jumble and coming to terms with plausible applications, problems, and opportunities afforded by this match, readers will have a clear understanding of what this revolutionary field has today, as well as its promise for tomorrow.
Top1. Introduction
The fields of robotics and the Internet of Things (IoT) have undergone revolutionary changes in recent years, with a revolution taking place in the way we think about intelligent systems. Robotics, which had been limited to the industrial world, has also broken out of its shell. There is very little that even advanced technologies such as IoT could not naturally integrate (A. Ranjan, K. K. Hegge and R. Agrawal, 2023). Now, the contemporary image of robotics is a departure from the concept of machine limited to assembly line work. Today's robots are far more sophisticated, and have already made inroads into many other fields including medicine, logistics, entertainment or education (Avinash, Kumaraswamy, Anand Kumar, 2023). These new developments are propelled forward by advances in materials, sensors and artificial intelligence (AI), enabling robots to work with unerring precision as well as flexibility.
Meanwhile, the coming of age of the Internet of Things has altered models for connectivity and data exchange (Chinamuttevi, Veera Sivakumar, 2023). Web of Things Formally defined, IoT really is all about putting sensors and connectivity into everyday objects so data can be gathered and shared across a network. This interlinked eco-system has far reaching implications; it provides functions for smarter, more responsive systems (Shekhar, R. & Chaturvedi, Abhay, 2023). The marriage of robots and the Internet of Things represents a critical juncture in the development of intelligent systems. Robots used to only work alone, but now they fit right into the Internet of Everything as connected devices. This integration, however, is not just an incremental improvement (V. Srinivas, T. De, 2023). It represents a fundamental paradigm shift to more intelligent, plastic and integrated robotic systems.
Figure 1.
Overview of IoRT technologies: A visual representation
Enabled by cloud computing. The arrival of cloud robotics allowed for centralization in terms of function and resource allocation, so that several robots could stake a claim to the same storage space or processing capacity (K. K. Hegge and R. Agrawal, 2023). But cloud robotics is lacking a crucial feature: a way for robots and other devices to have a common language when they speak with one another online (K. Prasad, and I. Gugan, 2023). One possible mechanism for such a worldwide communications system is the Internet of Things (IoT).
Connected devices, or “things,” may exchange data and coordinate their actions over the Internet thanks to the Internet of Things (IoT), a worldwide network (N. S. Reddy and B. Ashreetha, 2023). This makes it possible for all parties to communicate using the same communication technology, creating a platform for conversation. As shown in figure.1, the Internet of Robotic Things (IoRT) is an integration of the Internet of Things (IoT), robotics, and cloud computing. The idea is to develop this further by bringing these groups together. The Internet of Robotic Things (IoRT) will be a global network via which high tech robots connected through current and future communications technologies can communicate with one another, exchanging data that is compatible between them (S. Reddy P, P. S. Patwal, 2022). Moreover, the IoRT architecture permits common access by robots to scalable data processing, data storage and communications resources via a common pool of cloud computing services currently provided by data centres (P. Pavankumar, N. K. Darwante, 2022).
Figure 2. Overview of network structures: a) centralized, b) distributed, c) combined