Unmanned Rail Vehicle And Method Of Determining Its Position

    公开(公告)号:US20220266882A1

    公开(公告)日:2022-08-25

    申请号:US17597049

    申请日:2020-06-12

    申请人: ABB Schweiz AG

    IPC分类号: B61L25/02 B61L23/04

    摘要: An unmanned rail vehicle for surveillance, inspection and/or maintenance of an infrastructure, the infrastructure including a rail structure with a rail, the unmanned rail vehicle being movable along the rail and the unmanned rail vehicle including a first position sensor system configured for measuring, by interaction with the rail structure, first position data indicative of a position of the unmanned rail vehicle along the rail, a second position sensor system configured for measuring, by interaction with the rail structure, second position data indicative of a position of the unmanned rail vehicle along the rail, a position determining unit configured for receiving and combining first and second position data to determine the position of the unmanned rail vehicle along the rail.

    System and Method for Robotic Evaluation

    公开(公告)号:US20220402136A1

    公开(公告)日:2022-12-22

    申请号:US17772365

    申请日:2019-10-29

    IPC分类号: B25J9/16 B25J13/08

    摘要: A system and method for determining performance of a robot. In one form the robot is constructed as you assembling automotive workpieces onto an automobile assembly. In one form the robot accomplishes the task of assembling an automotive workpiece onto the automotive assembly by using vision feedback and force feedback. The vision feedback can use any number of features perform its function. Such features can include an artificial feature such as but not limited to a QR code, as well as a natural feature such as a portion of the workpiece or automotive assembly. In one embodiment the robot is capable of detecting a collision event and assessing the severity of the collision event. In another embodiment the robot is capable of evaluating its performance by attracting a performance metric against a performance threshold, and comparing a sensor fusion output with a sensor fusion output reference.