WORKFLOW FOR USING LEARNING BASED APPROACH FOR PLACING BOXES ON PALLETS

    公开(公告)号:US20220402139A1

    公开(公告)日:2022-12-22

    申请号:US17838045

    申请日:2022-06-10

    Abstract: A robotic system is disclosed. The system includes a memory that stores a machine learning-based model to provide a scoring function value for a candidate item placement on a pallet on which are plurality of items are to be stacked given a current state value of the pallet and a set of zero or more items placed previously. The system includes one or more processors that use the model to determine a corresponding score for each of a plurality of candidate placements for a next item to be placed and the current state value associated with the current state of the pallet and a set of zero or more items placed previously, select a selected placement based at least in part on the respective scores, control a robotic arm to place the next item according to the selected placement.

    Simulated box placement for algorithm evaluation and refinement

    公开(公告)号:US12258227B2

    公开(公告)日:2025-03-25

    申请号:US17837779

    申请日:2022-06-10

    Abstract: A robotic system is disclosed. The system includes a memory that stores for each of a plurality of items a set of attribute values. The system includes a processor(s) that uses the attribute values to simulate the placement of items, including by determining, iteratively, for each next item a placement location at which to place the item on a simulated stack of items on the pallet, using the attribute values and a geometric model of where items have been simulated to have been placed to estimate a state of the stack after each of a subset of simulated placements, and using the estimated state to inform a next placement decision. The steps of determining for each next item a placement location and estimating the state of the stack until all of at least a subset of the plurality of items have been simulated as having been placed on the stack.

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