Most robotic systems developed to date can either tackle a specific task with high precision or complete a range of simpler tasks with low precision. For instance, some industrial robots can complete specific manufacturing tasks very well but cannot easily adapt to new tasks. On the other hand, flexible robots designed to handle a variety of objects often lack the accuracy necessary to be deployed in practical settings.
This trade-off between precision and generalization has so far hindered the wide-scale deployment of general-purpose robots or, in other words, robots that can assist human users well across many different tasks. One capability that is required for tackling various real-world problems is that of “precise pick and place,” which involves locating, picking up, and placing objects precisely in specific locations.
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