SIMULATED BOX PLACEMENT FOR ALGORITHM EVALUATION AND REFINEMENT

    公开(公告)号:US20220402710A1

    公开(公告)日:2022-12-22

    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.

    ROBOTIC MULTI-ITEM TYPE PALLETIZING & DEPALLETIZING

    公开(公告)号:US20200270071A1

    公开(公告)日:2020-08-27

    申请号:US16716284

    申请日:2019-12-16

    Abstract: Techniques are disclosed to use a robotic arm to palletize or depalletize diverse items. In various embodiments, data associated with a plurality of items to be stacked on or in a destination location is received. A plan to stack the items on or in the destination location is generated based at least in part on the received data. The plan is implemented at least in part by controlling a robotic arm of the robot to pick up the items and stack them on or in the receptacle according to the plan, including by for each item: using one or more first order sensors to move the item to a first approximation of a destination position for that item at the destination location; and using one or more second order sensors to snug the item into a final position.

    Autonomous unknown object pick and place

    公开(公告)号:US12296493B2

    公开(公告)日:2025-05-13

    申请号:US18485212

    申请日:2023-10-11

    Abstract: A set of one or more potentially graspable features for one or more objects present in a workspace area are determined based on visual data received from a plurality of cameras. For each of at least a subset of the one or more potentially graspable features one or more corresponding grasp strategies are determined to grasp the feature with a robotic arm and end effector. A score associated with a probability of a successful grasp of a corresponding feature is determined with respect to each of a least a subset of said grasp strategies. A first feature of the one or more potentially graspable features is selected to be grasped using a selected grasp strategy based at least in part on a corresponding score associated with the selected grasp strategy with respect to the first feature. The robotic arm and the end effector are controlled to attempt to grasp the first feature using the selected grasp strategy.

    Robotic system with zone-based control

    公开(公告)号:US12258224B2

    公开(公告)日:2025-03-25

    申请号:US18407242

    申请日:2024-01-08

    Abstract: Data indicating a corresponding safety state information indicating an extent to which that operating zone currently is or is not available to the robotic system to perform tasks using one or more robotic instrumentalities associated with a robotic system is used, for each of a plurality of operating zones, to dynamically schedule and perform tasks associated with a higher level objective. The corresponding safety state information associated with the first operating zone indicating one of a plurality of safety states associated with a presence of a human worker in the first operating zone is received from one or more sensors associated with a first operating zone of the plurality of operating zones. Autonomous behavior of the one or more robotic instrumentalities is altered based on the one of the plurality of safety states associated with the presence of the human worker in the first operating zone indicated by the corresponding safety state information.

    ROBOTIC MULTI-ITEM TYPE PALLETIZING & DEPALLETIZING

    公开(公告)号:US20240158183A1

    公开(公告)日:2024-05-16

    申请号:US18511677

    申请日:2023-11-16

    CPC classification number: B65G47/905 B25J9/1697

    Abstract: Techniques are disclosed to use a robotic arm to palletize or depalletize diverse items. In various embodiments, data associated with a plurality of items to be stacked on or in a destination location is received. A plan to stack the items on or in the destination location is generated based at least in part on the received data. The plan is implemented at least in part by controlling a robotic arm of the robot to pick up the items and stack them on or in the receptacle according to the plan, including by for each item: using one or more first order sensors to move the item to a first approximation of a destination position for that item at the destination location; and using one or more second order sensors to snug the item into a final position.

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