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公开(公告)号:US20180225597A1
公开(公告)日:2018-08-09
申请号:US15947011
申请日:2018-04-06
Applicant: X Development LLC
Inventor: Christopher Hance , Daniel Shaffer
CPC classification number: G06Q10/043 , B65G1/0492 , G06Q10/06311 , G06Q10/06315 , G06Q10/087
Abstract: Examples described may enable rearrangement of pallets of items in a warehouse to an optimal layout. An example method includes receiving real-time item information including pallet locations in a warehouse and real-time inventory of items arranged on the pallets; determining a likelihood of demand for future access to the pallets based on a pallet relocation history and item receiving/shipment expectations; based on the real-time item information and the likelihood of demand, determining an optimal controlled-access dense grid layout in which distances of the pallets from a center of the layout are related to the likelihood of demand; receiving real-time robotics information and using the real-time robotics information to determine an amount of time to rearrange the pallets to the optimal layout; and, based on the amount of time to rearrange the pallets being less than a threshold, causing the robotic devices to rearrange the pallets to the optimal layout.
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公开(公告)号:US09984339B2
公开(公告)日:2018-05-29
申请号:US15244525
申请日:2016-08-23
Applicant: X Development LLC
Inventor: Christopher Hance , Daniel Shaffer
CPC classification number: G06Q10/043 , B65G1/0492 , G06Q10/087
Abstract: Examples described may enable rearrangement of pallets of items in a warehouse to an optimal layout. An example method includes receiving real-time item information including pallet locations in a warehouse and real-time inventory of items arranged on the pallets; determining a likelihood of demand for future access to the pallets based on a pallet relocation history and item receiving/shipment expectations; based on the real-time item information and the likelihood of demand, determining an optimal controlled-access dense grid layout in which distances of the pallets from a center of the layout are related to the likelihood of demand; receiving real-time robotics information and using the real-time robotics information to determine an amount of time to rearrange the pallets to the optimal layout; and, based on the amount of time to rearrange the pallets being less than a threshold, causing the robotic devices to rearrange the pallets to the optimal layout.
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公开(公告)号:US09965730B2
公开(公告)日:2018-05-08
申请号:US15244845
申请日:2016-08-23
Applicant: X Development LLC
Inventor: Christopher Hance , Daniel Shaffer
CPC classification number: G06Q10/043 , B65G1/1378 , B65G57/00 , B65G57/02 , B65G61/00 , G05B15/02 , G06Q10/087
Abstract: Examples described may enable consolidating pallets of items in a warehouse. An example method includes receiving real-time item information including pallet locations in a warehouse and inventory of items arranged on the pallets; based on the real-time item information, identifying a set of pallets of which at least one pallet includes less than a threshold quantity of a type of item; receiving real-time robotics information and determining, based on the real-time item and robotics information, an amount of time to condense the items on the set of pallets into a single pallet and a quantity of pallets that will become empty as a result of condensing the items; and, based on the amount of time being less than a threshold time and the quantity of pallets exceeding a threshold quantity of pallets, causing robotic devices to condense the items into the single pallet.
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公开(公告)号:US20180088586A1
公开(公告)日:2018-03-29
申请号:US15276193
申请日:2016-09-26
Applicant: X Development LLC
Inventor: Christopher Hance , Daniel Shaffer
CPC classification number: G05D1/0236 , G05D2201/0216
Abstract: An example method includes receiving image data captured by a sensor on a robotic device. The robotic device is in a warehouse, including multiple inventory items stored at storage locations in the warehouse. Each inventory item has an on-item identifier that identifies it in a warehouse management system (WMS), each storage location has a storage-location identifier that identifies it in the WMS, and a first on-item identifier for a first inventory item is associated in the WMS with a first storage-location identifier for a first storage location. The method includes analyzing the received sensor data to detect an identifier captured by the sensor. The detected identifier includes one or both of the first on-item identifier and the first storage-location identifier. The method includes determining a warehouse location associated with the detected identifier and, based on the warehouse location, determining a location of the robotic device within the warehouse.
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