METHOD AND SYSTEM FOR OPTIMAL COVERAGE PATH PLANNING FOR AUTONOMOUS MOBILE DEVICES

    公开(公告)号:US20230147938A1

    公开(公告)日:2023-05-11

    申请号:US17966932

    申请日:2022-10-17

    IPC分类号: G05D1/02

    摘要: Embodiments of the present disclosure disclose a system and method for optimizing coverage path planning of robots. Data is received from sensors associated with robots in a region. The data is captured in a plurality of poses from a plurality of viewpoints in the region. A priority cost is assigned for each viewpoint based on: objects detected in the data and region of interest in the objects captured by the sensors in the viewpoint. Further, a set of optimal viewpoints are determined from the plurality of viewpoints using objective functions. The objective functions is based on the priority cost associated with each viewpoint and a coverage value for each corresponding viewpoint. The coverage value for a viewpoint indicates an area of the region captured by the sensors from the corresponding viewpoint. Thereafter, a coverage path is generated for the robots based at least on the set of optimal viewpoints.

    AUTONOMOUS MOBILE ROBOTS FOR COVERAGE PATH PLANNING

    公开(公告)号:US20230147624A1

    公开(公告)日:2023-05-11

    申请号:US17583250

    申请日:2022-01-25

    IPC分类号: G05D1/02

    摘要: The disclosure generally relates to a method and a system for heterogeneous autonomous mobile robots for coverage path planning. The method may include receiving sensor data from one or more sensor devices. The sensor data includes information corresponding to one or more robots in a predefined region. The method may further include generating a map for the one or more robots based on the received sensor data. The map includes a probable occupancy of each of the plurality of cells by the one or more robots in the predefined region. The method further includes determining a set of poses of the one or more robots based on the generated map and an optimal set of poses from the set of poses based on the visibility matrix. The method may further include generating a coverage path plan for each of the one or more robots based on the determined optimal set of poses.