Robots play an irreplaceable role in modern manufacturing. However, safer, cheaper, and especially smarter robots are in short supply.
With the rapid development of materials science, computer science, brain science and other fields, although robots are far from the image in science fiction movies, with the continuous improvement of "learning" ability, the development and expansion of robots and the real world interactive technology Practice, but it shocks you and my eyes all the time. Although each study has only improved a little, it is this "a little bit" progress that will eventually converge into a smart world of the future.
The US MIT Technology Review has published several articles on new trends in robot learning capabilities since October, which may be an interesting reference for robot enthusiasts to track the latest technology directions.
"Self-learning" to grab a variety of items
One of the goals of general-purpose robots is to interact intelligently with the objects in everyday life, but the robot's ability to grab is really embarrassing. Let the robot pick up a TV remote, a bottle of water, or a toy gun, and it will continually explore it unless it has a program that allows it to pick up specific items in a particular environment.
This is in stark contrast to the ability of humans to grab things. A human baby can quickly learn to grab specific items in the most chaotic and unstructured environment.
So, can robots learn to grasp by trial and error and error correction like a baby?
Today, Carrefour Mellon University's Rirel Pinto and Aposinavi Gunta Pita prove this possibility. They loaded the deep learning function for the robot named Baxter, letting it sit on the high chair in front of the table like a baby in everyday objects piled up with a table.
Baxter is a modern two-arm industrial robot designed to perform repetitive tasks in a factory floor environment. Each of its arms consists of a standard two-finger parallel claw and an HD camera that lets the robot see what it is looking for. It also has a Microsoft Kinect sensor that provides an unobstructed view.
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