Method of Handling Carrier by Means of Mobile Robot, Control System and Mobile Robot

    公开(公告)号:US20230415331A1

    公开(公告)日:2023-12-28

    申请号:US18252944

    申请日:2020-11-20

    Applicant: ABB Schweiz AG

    Inventor: Jonas Larsson

    CPC classification number: B25J9/0093 G05D1/021 B25J5/007 B25J13/08

    Abstract: A method of handling a carrier by means of a mobile robot including a body having a base; a traction arrangement; at least one manipulator; and at least one end effector movable relative to the base; wherein the mobile robot is configured to perform an omnidirectional motion of the base relative to a surface; the method including obtaining environment data of a carrier positioned on the surface by means of an environment sensor; determining a handle position of at least one handle of the carrier based on the environment data; positioning each end effector in relation to at least one handle based on the one or more handle positions; securing each end effector to the at least one handle; and moving the mobile robot and the carrier in common over the surface by means of the mobile robot.

    Steering system monitoring
    24.
    发明授权

    公开(公告)号:US11851118B2

    公开(公告)日:2023-12-26

    申请号:US16717766

    申请日:2019-12-17

    Abstract: The disclosure relates to a method including the steps of: acquiring a time sequence of sets of vehicle parameter values; determining, for each set of acquired vehicle parameter values, based the set of acquired vehicle parameter values, a measure indicative of an observed strain in a steering rod, between a steering actuator and a wheel; determining, for each set of acquired vehicle parameter values, a measure indicative of a predicted strain in the rod, between the steering actuator and the wheel; and determining the functional status of the steering system based on a relation between the measures indicative of the observed strain in the rod and the measures indicative of the predicted strain in the rod.

    Driverless transport system
    25.
    发明授权

    公开(公告)号:US11851095B2

    公开(公告)日:2023-12-26

    申请号:US18021649

    申请日:2021-09-23

    Abstract: There is disclosed a driverless transport system, DTS, (10) comprising: a travelling course (12), formed of routes (14), preferably travelled unidirectionally, which are defined respectively by one track (28), and of markers (16); a fleet (18) of at least two driverless transport vehicles, DTV, (20) travelling along the tracks (28) in a forcibly guided manner; and at least one station (26) defined by: at least one of the tracks (28), at least one of the markers (16), and an individualizing assigned station identifier; wherein each of the stations (26) can comprise a terminal (70) for allocation of travelling destination and wherein each of the stations (26) represents an area of the travelling course (12), within which the DTVs (20) can get assigned a new travelling destination and/or can be loaded, unloaded, energetically charged, and/or stopped; wherein the markers (16) include information, which is station-specific by being associating the respective information with the respectively assigned station identifier; wherein each of the DTVs (20) comprises: a communication unit (52) for transmitting and receiving information; a marker-detection unit (54) for reading, preferably contactless, the information from the markers (16); and a controlling unit (58) for processing read and received information; and wherein communication between the DTV (20) and communication between the DTVs (20) and terminals (70) is respectively performed directly, and in particular in a DTV-unspecific manner.

    Predictive maintenance of automotive transmission

    公开(公告)号:US11830296B2

    公开(公告)日:2023-11-28

    申请号:US17556515

    申请日:2021-12-20

    Abstract: Systems, methods and apparatuses of predictive maintenance of automotive transmission of vehicles. For example, the transmission has at least one sensor to measure a temperature in transmission fluid, the torque applied on a shaft of the transmission, a vibration sensor, and/or a microphone. During a period in which the vehicle is assumed to be operating normally, the sensor data generated by the transmission sensor(s) is used to train an artificial neural network to recognize the normal patterns in the sensor data. Subsequently, the trained artificial neural network is used to determine whether the current sensor data from the transmission sensor(s) are abnormal. A maintenance alert can be generated for the vehicle in response to a determination that the operations of the transmission are abnormal according to the artificial neural network and the current sensor data.

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