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US Patent 10953549 Robotic system with error detection and dynamic packing mechanism

Patent 10953549 was granted and assigned to Mujin on March, 2021 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Mujin
Mujin
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Current Assignee
Mujin
Mujin
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
109535490
Patent Inventor Names
Rosen Nikolaev Diankov0
Denys Kanunikov0
Date of Patent
March 23, 2021
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Patent Application Number
168024510
Date Filed
February 26, 2020
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Patent Citations
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US Patent 10618172 Robotic system with error detection and dynamic packing mechanism
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US Patent 10679379 Robotic system with dynamic packing mechanism
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US Patent 10647528 Robotic system for palletizing packages using real-time placement simulation
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US Patent 10696493 Robotic system with packing mechanism
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US Patent 10696494 Robotic system for processing packages arriving out of sequence
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US Patent 10124489 Locating, separating, and picking boxes with a sensor-guided robot
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US Patent 10335947 Robotic system with piece-loss management mechanism
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US Patent 10549928 Robotic multi-item type palletizing and depalletizing
Patent Citations Received
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US Patent 12084299 Robotic system for palletizing packages using real-time placement simulation
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US Patent 11488323 Robotic system with dynamic packing mechanism
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US Patent 11591168 Robotic system for processing packages arriving out of sequence
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US Patent 11701776 Robotic kitting machine
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US Patent 11319166 Robotic system with packing mechanism
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US Patent 12065318 Robotic system with packing mechanism
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US Patent 11472640 Robotic system for palletizing packages using real-time placement simulation
Patent Primary Examiner
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Ian Jen
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Patent abstract

A method for operating a robotic system includes determining a discretized object model based on source sensor data; comparing the discretized object model to a packing plan or to master data; determining a discretized platform model based on destination sensor data; determining height measures based on the destination sensor data; comparing the discretized platform model and/or the height measures to an expected platform model and/or expected height measures; and determining one or more errors by (i) determining at least one source matching error by identifying one or more disparities between (a) the discretized object model and (b) the packing plan or the master data or (ii) determining at least one destination matching error by identifying one or more disparities between (a) the discretized platform model or the height measures and (b) the expected platform model or the expected height measures, respectively.

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