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Classifying and sorting cluttered piles of unknown objects with robots: a learning approach
In an experiment, the system quickly learned to make good pickups and predict correctly, in advance, which class of object it was going to pick up and was able to sort the objects from a densely cluttered pile by color.
Picking a Conveyor Clean by an Autonomously Learning Robot
We present a research picking prototype related to our company's industrial waste sorting application.
Random Variables Recorded under Mutually Exclusive Conditions: Contextuality-by-Default
We present general principles underlying analysis of the dependence of random variables (outputs) on deterministic conditions (inputs).
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