Internet of things provides a substantial platform to connect objects to the internet for facilitating machine to machine communication and transferring data using the standard network protocols.
It is gaining at speed regularly till date, billions of devices are already connected and in the coming future the count can touch into trillions. With the persistent advancements lots of areas such as Industry, Robotics, Nanotechnology are adapting the technology for the leading-edge solutions.
The internet of robotic things (IORT) is an approach that has been introduced to describe the robotic technologies into the internet of things scenario. Robotic things is a blend of diverse technologies like Cloud Computing, Artificial Intelligence, Machine learning.
This technology is laying a robust base for the humans in making their existing devices smart and enabling them to connect to the internet by allowing the devices to exchange information among each other.
Robotic systems have brought several changes in various aspects of basic living of humans. It is integrated with network technologies by extending their operations in the unstructured environments.
The primary desire behind the design and development of the internet of robotic things is Cloud robotics which is regarded as a system that relies on cloud computing infrastructure for accessing vast amounts of data and processing power for performing the required operations.
All the operations ranging from sensing, computing are further integrated into a single standalone system like Network Robot. Cloud robotic systems include some portion of its capacity for local processing for low latency responses in situations like network failures and these are designed in such a way that they form a transition state between preprogrammed and network robotics.
The most prominent prototype of cloud robotics systems operating in the real-world, is the Autonomous Cars which makes use of a GPS navigation system which is directly linked to the google maps for getting information from start and end location as well as the real-time traffic determination to perform accurate localization.
The amalgamation of advanced sensing, communication, local and distributed process and actuation take the original vision for the IoT to wholly a different level that opens up bulk new classes of opportunities for the internet of things and robotic solution providers, along with the products.
In robotic things the computing and regulation are performed in the cloud and in turn the internet acts as the fundamental medium for the robotic systems for getting connected to the cloud. Alongside upgrading in robot operating systems there will no longer be any complexity in the communication whereas the communication itself can be performed with just a simple call to the application programming interface.
With IoT and machine learning, the internet of robotic things become highly adequate to quickly adapt changing contexts by performing high end complex computations in the real time for enhancing learning experience.
The compelling challenge parallel to the design and development of learning models dwell at the core of learning service which is designed efficiently for meeting the requirements of computational resources available in the respective network nodes by altering the specifications for meeting the specific nature of the ground-level data.
IORT systems are designed in such a manner by ensuring end to end safety and security required during information transmission and even the security frameworks needed to transmit information in a secured manner assuring the integrity and confidentiality.
A striking application scenario for the robotics things is the multi-robot systems. These are the systems which are composed of multiple agents operating in the same circumstances which implements simple sensing or actuation activities or even complex operations.
Robots are basically grouped into multiple swarm collective cooperative sets to improve the overall performance by increasing the throughput efficiency in turn extending and enabling the new functionalities of the robotic system furthermore improving the fault tolerance through redundancy.
The Internet of Things, Artificial Intelligence and Robotics are viewed as highly sophisticated technologies these days, covering a heaping hypothesis of terminologies and technologies. The technology will lay the stable foundation for opening widened doors for implementing robots in diverse application areas.
Robots confront the next generation robotic things along with real time applications where the systems are playing a crucial role in the design and development process. In the near future multiple role internet of robotic things are going to sneak into nature for performing more compound operations in divergent areas.