Robots learn to grasp objects by practicing and teaching each other
Even for robots, practice makes perfect. At least that’s how it works for the technique developed by Brown University assistant professor Stefanie Tellex, which teaches robots how to pick up objects so they can relay the info to other robots. Tellex has been working on the technique with the help of an industrial machine called Baxter, which has two hands and a touchscreen face. These slightly human-shaped automatons use cameras and infrared sensors to examine an object — they then pick it up from various angles using different grasps in order to find the most secure way to hold it. Once they do determine the perfect grip, the information is encoded in a format that can be shared online and uploaded onto other robots’ brains.
Source: MIT Technology Review
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