Generating synthetic training data for a robotic picking system
AssigneeOxipital Ai Inc.
InventorsMichael R. Bassett, Jonah C. McBride, Jeremy Corson, Junhua Tang, David Benjamin Gibson, Matthew Corsaro
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AssigneeOxipital Ai Inc.
InventorsMichael R. Bassett, Jonah C. McBride, Jeremy Corson, Junhua Tang, David Benjamin Gibson, Matthew Corsaro
Estimating the term…
Exemplary embodiments relate to techniques for generating large amounts of machine learning training data for a robotic pick-and-place station. One or more three-dimensional scans of a product may be acquired. The three-dimensional scans may be used to generate images of the product in different orientations, and/or scenes including multiple such products may be generated. The three-dimensional scan and/or the generated images may be manipulated to generate variations. One or more distractors may be applied to approximate a pick-and-place environment that will operate to pick objects similar to the training object.
A method for generating synthetic training data for a robotic picking system comprising:
A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a computer, cause the computer to:
Dependencies are inferred from the claim text.