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Internet of robotic things devices, like internet of things devices and robots, use software, sensors, and technology like RFID and GPS to sense their physical and digital surroundings.
FREMONT, CA: The Internet of Robotic Things (IoRT) is a research field that describes the intersection of the Internet of Things (IoT) with robotics. IoRT is a fusion of the disciplines, not IoT helped by Robotics or Robotics driven by IoT. It grew gradually due to realizations that the two fields had a lot of purpose overlap and might benefit substantially from a focus on their integration.
IoRT is a relatively new field of research, even though the notion of IoT has been around for more than two decades and robotics has been around even longer. Edge computing, cloud computing, cloud robotics, and AI in IoT are also supporting IoRT.
IoRT is a method for creating truly autonomous networks capable of performing complex activities in the physical world. The ability of robotic technology to affect the physical world, combined with the capabilities of the IoT to form self-contained and intelligent networks, offers enormous potential.
The following are the features or components of IoRT:
IoRT devices, like IoT devices and robots, use software, sensors, and technology like RFID and GPS to sense their physical and digital surroundings. This component of IoRT drives 'Sensing as a Service' solutions. Sensing is also essential for collaborating and interacting with humans and other machines.
IoRT devices use cloud computing and edge computing to execute intelligent computations. Sensory input is employed as a variable in computations, and machines can learn from the information. IoRT provides the capacity to carry out complex tasks involving several variables, pathways, and actions.
The ability to connect to other devices on the network, to the internet, and to communicate with other devices is critical to the operation of IoRT systems. The Internet, Bluetooth, wi-fi, and other systems are used to create communication networks.
Taking the action necessary to achieve a device's goal is referred to as actuating. This could be done by physical or virtual means. IoT can now conduct activities in the physical world thanks to the integration of robotics.
IoRT systems are provided autonomous control with minimum human intervention. They can learn from data, alter their plans as needed, and account for the variance of multiple variables without the intervention of humans. The human side of control can be provided by any device having an interface from any distance. Data from other devices is also available to IoRT-based systems via communication networks.