SAFETY MODE TOGGLING BY AUTONOMOUS ROBOTS IN A FACILITY CONTEXT

    公开(公告)号:US20220119196A1

    公开(公告)日:2022-04-21

    申请号:US17138440

    申请日:2020-12-30

    IPC分类号: B65G1/137

    摘要: A system and a method are disclosed that cause a robot to traverse along a route based on a minimum distance to be maintained between the autonomous mobile robot and an obstacle corresponding to a first mode. The robot determines that the route cannot be continued without a distance between the robot and a detected obstacle becoming less than the minimum distance, and responsively determines whether the route can be continued without the distance between the robot and the detected obstacle becoming less than a second minimum distance less than the initial minimum distance, the second minimum distance corresponding to a second mode. Responsive to determining that the route can be continued without the distance between the autonomous mobile robot and the detected obstacle becoming less than the second minimum distance, the robot is configured to operate in second mode and continues traversal of the route.

    LOADING AND UNLOADING BY AN AUTONOMOUS MOBILE ROBOT

    公开(公告)号:US20230211508A1

    公开(公告)日:2023-07-06

    申请号:US18146579

    申请日:2022-12-27

    IPC分类号: B25J13/08 B25J9/16 B66F9/06

    摘要: To load and unload a trailer, an autonomous mobile robot determines its location and the location of objects within the trailer relative to the trailer itself, rather than relative to a warehouse. The autonomous mobile robot determines its location the location of objects within the trailer relative to the trailer. The autonomous mobile robot navigates within the trailer and manipulates objects within the trailer from the trailer's reference frame. Additionally, the autonomous mobile robot uses a centerline heuristic to compute a path for itself within the trailer. A centerline heuristic evaluates nodes within the trailer based on how far away those nodes are from the centerline. If the nodes are further away from the centerline, they are assigned a higher cost. Thus, when the autonomous mobile robot computes a path, the path is more likely to stay near the centerline of the trailer rather than get closer to the sides.

    DYNAMIC TRAVERSAL PROTOCOL SELECTION BY AUTONOMOUS ROBOTS IN A FACILITY CONTEXT

    公开(公告)号:US20220121207A1

    公开(公告)日:2022-04-21

    申请号:US17138444

    申请日:2020-12-30

    IPC分类号: G05D1/02 G06K9/00

    摘要: A system and a method are disclosed where a robot operating using a first traversal protocol traverses autonomously along a first route that is defined by markers that are detectable by the robot, wherein the robot is configured to move only based on a presence and type of each marker when the robot is configured to operate based on the first traversal protocol. The robot detects, while traversing along the route, a triggering condition corresponding to a change in operation by the robot from the first traversal protocol to a second traversal protocol. Responsive to detecting the triggering condition, the robot is configured to operate in the second traversal protocol, wherein the robot, when configured to operate based on the second traversal protocol, determines a second route autonomously without regard to a presence of any of the markers.

    POSE DETERMINATION BY AUTONOMOUS ROBOTS IN A FACILITY CONTEXT

    公开(公告)号:US20220121837A1

    公开(公告)日:2022-04-21

    申请号:US17138432

    申请日:2020-12-30

    IPC分类号: G06K9/00 G06K9/66 G06K9/62

    摘要: A system and a method are disclosed where an autonomous robot captures an image of an object to be transported from a source to a destination. The robot generates a bounding box within the image surrounding the object. The robot applies a machine-learned model to the image with the bounding box, the machine-learned model configured to identify an object type of the object, and to identify features of the object based on the identified object type and the image. The robot determines which of the identified features of the object are visible to the autonomous robot, and determines a three-dimensional pose of the object based on the features determined to be visible to the autonomous robot.