As robots become a reality in various industries, the concept of the Internet of Robotic Things (IoRT) is gaining traction, marking the next phase in the evolution of automation. The integration of IoRT capabilities equips robots with the ability to collect and analyze data, enabling them to identify and address faults more efficiently.
The continuous progress in robotics and automation has led experts to recognize IoRT as a prominent trend. IoRT empowers robots to interact, exchange data, and collaborate with other internet-connected objects and systems, fostering the development of intelligent and adaptable applications. Through IoRT, the goal is to optimize resource utilization by reducing downtime and enhancing the overall efficiency of robotic systems.
One key advantage of IoRT lies in its modular design, allowing for flexible deployment and facilitating seamless integration of new robotic technologies. This adaptability ensures that IoRT can keep pace with the rapidly evolving field of robotics.
“IoRT integrates robots and intelligent machines into the broader network, harnessing the power of robotics and IoT. This interconnectedness can be a game-changer for automation, reducing human intervention, and enhancing precision, efficiency, and adaptability in automated processes,” as supported by the Department of Science and Technology and T-Hub.
The significance of IoRT extends beyond individual robots, as it aims to create a network where robotic systems can communicate and collaborate seamlessly. This interconnected approach holds promise for revolutionizing automation by minimizing the need for human intervention and elevating the precision and adaptability of automated processes.
In essence, the IoRT concept represents a pivotal advancement in the realm of automation, ushering in a new era where robots are not only autonomous but also interconnected, working together to achieve more sophisticated and efficient outcomes. The endorsement and support from institutions like the Department of Science and Technology and T-Hub underscore the transformative potential of IoRT in shaping the future of automation.