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Andreas Pas

1 accepted papers

2017

Learning a visuomotor controller for real world robotic grasping using simulated depth images

CoRL 2017

We want to build robots that are useful in unstructured real world applications, such as doing work in the household. Grasping in particular is an important skill in this domain, yet it remains a challenge. One of the key hurdles is handling unexpected changes or motion in the objects being grasped

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