SYSTEM AND METHOD TO ENHANCE WORKER SAFETY
    3.
    发明公开

    公开(公告)号:US20240289909A1

    公开(公告)日:2024-08-29

    申请号:US18586327

    申请日:2024-02-23

    摘要: A computer-implemented method and system to enhance safety of one or more workers comprising worker safety management systems, mobile worker safety base stations, robots and one or more wearable devices. The computer-implemented method comprising the steps of: (a) detecting one or more safety issues by the one or more mobile worker safety base stations by using one or more data received from the one or more wearable devices; (b) communicating to the robots by the mobile worker safety base stations, to change their positions with or without using one or more downloaded maps to locate positions where wireless communication links are available and, transmitting signals and/or data based on the received data related to the detected safety issues from the mobile worker safety base stations.

    SELF-LOCATION ESTIMATION DEVICE, AUTONOMOUS DRIVING VEHICLE, AND SELF-LOCATION ESTIMATION METHOD

    公开(公告)号:US20240272642A1

    公开(公告)日:2024-08-15

    申请号:US18643238

    申请日:2024-04-23

    申请人: IHI Corporation

    发明人: Mai EMOTO

    摘要: A self-location estimation device includes a map information acquisition unit, an environmental information acquisition unit, and a self-location estimation unit. The map information acquisition unit is configured to acquire map information in a storage facility generated based on shape information of an object and storage status information of the object in the storage facility. The environmental information acquisition unit is configured to acquire environmental information of surroundings. The self-location estimation unit is configured to estimate a self-location based on the map information acquired by the map information acquisition unit and the environmental information acquired by the environmental information acquisition unit.

    INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND PROGRAM

    公开(公告)号:US20240255956A1

    公开(公告)日:2024-08-01

    申请号:US18562352

    申请日:2022-01-27

    发明人: HIROSHI MIYAGAWA

    IPC分类号: G05D1/622 G05D1/246

    CPC分类号: G05D1/622 G05D1/246

    摘要: There are provided a device and a method that can quickly correct an approach area defined as a work area of a robot when a new obstacle that is not on a predefined map occurs. There are provided a differential obstacle detector that detects a differential obstacle corresponding to a difference from an obstacle recorded on a predefined map on the basis of information from a sensor that acquires travel environment information of the robot, and an approach area corrector that corrects, in consideration of the differential obstacle, a preset approach area in which a work by the robot is determined to be executable without contact with the obstacle, and generates a corrected approach area, the preset approach area including an area recorded on the predefined map. The approach area corrector determines whether or not a sampling point set inside the preset approach area allows the robot to work without contacting the differential obstacle, and generates the corrected approach area.

    Autonomous snow removal machine
    7.
    发明公开

    公开(公告)号:US20240209579A1

    公开(公告)日:2024-06-27

    申请号:US18537801

    申请日:2023-12-13

    申请人: Rajeev Thakur

    发明人: Rajeev Thakur

    摘要: This invention relates to an autonomous snow removal machine for residential use. The machine is created by converting a manually operated snowblower to electric operation using motors, sensors, and a small computer. Key functions like wheel movement, chute control, and auger engagement are now powered by electric motors, while the auger rotation remains driven by the original gas engine or electric motor. Onboard sensors provide data to the control computer, enabling autonomous snow clearing within a defined area. The user interacts with the machine through a smartphone application to define the clearing zone and initiate the autonomous process. The machine can be operated manually when required by disengaging the clutch mechanism at the wheels and other electric motors.

    NEURAL NETWORK BASED VEHICLE DYNAMICS MODEL
    9.
    发明公开

    公开(公告)号:US20240353839A1

    公开(公告)日:2024-10-24

    申请号:US18662273

    申请日:2024-05-13

    申请人: TuSimple, Inc.

    摘要: A system and method for implementing a neural network based vehicle dynamics model are disclosed. A particular embodiment includes: training a machine learning system with a training dataset corresponding to a desired autonomous vehicle simulation environment; receiving vehicle control command data and vehicle status data, the vehicle control command data not including vehicle component types or characteristics of a specific vehicle; by use of the trained machine learning system, the vehicle control command data, and vehicle status data, generating simulated vehicle dynamics data including predicted vehicle acceleration data; providing the simulated vehicle dynamics data to an autonomous vehicle simulation system implementing the autonomous vehicle simulation environment; and using data produced by the autonomous vehicle simulation system to modify the vehicle status data for a subsequent iteration.

    AUTONOMOUS NAVIGATION SYSTEM FOR MOBILE ROBOTS

    公开(公告)号:US20240351207A1

    公开(公告)日:2024-10-24

    申请号:US18758950

    申请日:2024-06-28

    申请人: Intel Corporation

    IPC分类号: B25J9/16 B25J5/00 G05D1/246

    摘要: An apparatus, including: an interface operable to receive sensor data and generate a map representation of an environment of a robot; processing circuitry operable to: plan a sequence of states to direct the robot to a task goal of the robot based on the map representation and a kinematic state of the robot for a plurality of degrees of freedom; determine a time-dependent trajectory of the robot to the task goal based on the sequence of states by dynamically enabling or disabling one or more of the plurality of degrees of freedom; and generate a movement instruction to control movement of the robot based on the time-dependent trajectory.