That is also the problem CynLr is trying to solve. Rather than training robots on millions of images, its software analyses an object’s geometry, texture, reflections and possible grasp points, allowing the robot to decide how to manipulate it without prior training. “The goal is to make robots learn through interaction, much like a child explores an unfamiliar object, instead of relying on massive labelled datasets,” says Gokul N.A., co-founder overseeing design, product and brand at CynLr.
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