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New imaging technique reconstructs the shapes of hidden objects
MIT researchers developed a new system that enables a robot to use reflected Wi-Fi signals to identify the shape of a 3D object that is hidden from view, which could be especially useful in warehouse and factory settings.
For instance, mmNorm could enable robots working in a factory or home to distinguish between tools hidden in a drawer and identify their handles, so they could more efficiently grasp and manipulate the objects without causing damage. This method works well for large objects, like an airplane obscured by clouds, but the image resolution is too coarse for small items like kitchen gadgets that a robot might need to identify. A new imaging technique developed by MIT researchers could enable quality-control robots in a warehouse to peer through a cardboard shipping box and see that the handle of a mug buried under packing peanuts is broken.
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