ROBOTIC TRAY GRIPPER
    1.
    发明申请

    公开(公告)号:US20250083333A1

    公开(公告)日:2025-03-13

    申请号:US18889214

    申请日:2024-09-18

    Abstract: A robotic end effector is disclosed. The end effector is configured to grasp, move, and place one or more objects without assistance from another robot. The end effector includes a lateral member configured to be attached to a robotic arm at a central portion of the lateral member, a passive side member fixedly mounted to the lateral member at a first distal end and configured to engage mechanically with a first recess on a first side of an object to be grasped, and an active side member hinged to the lateral member at a second distal end opposite the first distal end and configured to engage mechanically with a second recess on a second side of the object to be grasped, the second side being opposite the first side of the object to be grasped. The passive side member and the active side member each include a structure, and the structure on the passive side member and the active side member have different profiles.

    ROBOTIC TRAY GRIPPER
    2.
    发明公开

    公开(公告)号:US20230321841A1

    公开(公告)日:2023-10-12

    申请号:US18210001

    申请日:2023-06-14

    CPC classification number: B25J15/0028

    Abstract: A robotic end effector is disclosed. The end effector is configured to grasp, move, and place one or more objects without assistance from another robot. The end effector includes a lateral member configured to be attached to a robotic arm at a central portion of the lateral member, a passive side member fixedly mounted to the lateral member at a first distal end and configured to engage mechanically with a first recess on a first side of an object to be grasped, and an active side member hinged to the lateral member at a second distal end opposite the first distal end and configured to engage mechanically with a second recess on a second side of the object to be grasped, the second side being opposite the first side of the object to be grasped. The passive side member and the active side member each include a structure, and the structure on the passive side member and the active side member have different profiles.

    USING SIMULATED/GENERATED NOISE TO EVALUATE AND REFINE STATE ESTIMATION

    公开(公告)号:US20220402134A1

    公开(公告)日:2022-12-22

    申请号:US17838034

    申请日:2022-06-10

    Abstract: A robotic system is disclosed. The system includes a memory configured to store estimated state information associated with a computer simulation of a robotic operation to stack a plurality of items on a pallet or other receptacle. The system includes one or more processors coupled to the communication interface and configured to perform the computer simulation. The computer simulation is performed at least in part by combining geometric model data based on idealized simulated robotic placement of each item with programmatically generated noise data. The programmatically generated noise data reflects an estimation of the effect that one or more sources of noise in a real-world physical workspace with which the computer simulation is associated would have on a real-world state of the plurality of items and/or the pallet or other receptacle if the plurality of items were stacked on the pallet or other receptacle as simulated in the computer simulation.

    SIMULATED BOX PLACEMENT FOR ALGORITHM EVALUATION AND REFINEMENT

    公开(公告)号:US20250100819A1

    公开(公告)日:2025-03-27

    申请号:US18973428

    申请日:2024-12-09

    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 tray gripper
    5.
    发明授权

    公开(公告)号:US11731287B2

    公开(公告)日:2023-08-22

    申请号:US17712915

    申请日:2022-04-04

    CPC classification number: B25J15/0028

    Abstract: A robotic end effector is disclosed. The end effector is configured to grasp, move, and place one or more objects without assistance from another robot. The end effector includes a lateral member configured to be coupled to a robotic arm, a passive side member coupled substantially rigidly to the lateral member at a first distal end and configured to engage mechanically with a first recess on a first side of an object to be grasped, and an active side member coupled to the lateral member at a second distal end opposite the first distal end and configured to engage mechanically with a second recess on a second side of the object to be grasped, the second side being opposite the first side of the object to be grasped. The passive side member and the active side member each include a structure, and the structure on the passive side member and the active side member have different profiles.

    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.

    HARDWARE-ACCELERATED RAY-TRACING FOR INTELLIGENT ROBOT TASK EXECUTION

    公开(公告)号:US20240424676A1

    公开(公告)日:2024-12-26

    申请号:US18750256

    申请日:2024-06-21

    Abstract: Use of hardware-accelerated raytracing for intelligent robot task execution is disclosed. In various embodiments, data comprising a geometric representation of a robot and one or more obstacles in a workspace in which the robot is located are used to determine, with respect to a pose of the robot in the workspace, whether the pose is associated with a collision condition with respect to one or more of the one or more obstacles, at least in part by performing hardware accelerated ray tracing with respect to rays originating from each of a plurality of points associated with the robot.

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