Technology is rapidly evolving all thanks to robotic automation. Industrial robots have become a common place in factory floors across the globe in just a few decades. They have continued to gain popularity because of their profitability and productivity. Because robotics and artificial intelligence have created a revolution in manufacturing, it is essential for you to keep an eye on what’s going to happen next because this type of technology will continue to disrupt how we manufacture and distribute products.
By combining collaborative or industrial robots with artificial intelligence, researchers and engineers have the potential of changing the world. This is because artificial intelligence has the potential of unlocking entirely new capabilities for robots which without it are unresponsive and rigid to the world around them. There is a high potential for disruption in the industrial sector. For this reason, there are a plethora of ways in which industrial robots can be improved with the addition of artificial intelligence (AI) despite the fact that most industrial processes are already highly automated.
The ability of a robot to learn is directly attributed to its overall capabilities. There are three main types of robotic which include:
Even though the purpose of these three learning methods is the same, each one of them varies in complexity.
Despite there being plenty of futuristic scenarios in which one can imagine robotics and AI technology, there are a few present-day applications to keep an eye on. Here are some of them:
Using speech recognition as well as image classification, deep robotic learning often relies on massive databases with millions of examples. Artificial intelligence requires more data than what can realistically reside on most normal systems. For this reason, advances in cloud robotics for the advancement in robotics and AI technologies is paramount. Remember that cloud robotics allows your system to share intelligence across all robots that are in a connected environment.
Robots are becoming easier to train all thanks to artificial intelligence. Since it reduces ongoing programming, training and the cost of installation, this makes robots more viable investments, especially for smaller companies. Some robots can be trained by guiding their rams a few times because they are designed to learn through demonstrations and eventually programs the correct move by itself. Robots that are easier to teach have the potential of learning more unlike those that are harder to train.
A 3D machine vision feeds data into artificial intelligence technology. Therefore, a robot’s performance will depend on it regardless of how simple the task is. For instance, grasping an object without pre-determined motions and locations would be impossible. This is because there are a number of processes that work together to make this happen. For starters, machine vision is required to reconstruction a 3D image which is then translated by artificial intelligence and stored as a successful action on the part of the robot.
Regardless of whether they are used for collaborative or industrial applications, these three are the top trends in the development of robotics and artificial intelligence technologies. When it comes to changing how robotics operate both outside and inside of factories across the globe, artificial intelligence has got radical potential. To learn more about robotics and AI technologies visit universal-robots.com.