Teaching robots to learn about the world through touch

 Slowly, but surely, the Baxter robot is learning. It starts as a series of random grasps — the big, red robot pokes and prods clumsily at objects on the table in front of it. The robot is learning through tactile feedback and trial and error — or, as the Carnegie Mellon computer science team behind the project puts it, it’s learning about the world around it like a baby. Read More


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