EVALUATION OF A GROUND REGION FOR LANDING A ROBOT

    公开(公告)号:US20240310185A1

    公开(公告)日:2024-09-19

    申请号:US18673760

    申请日:2024-05-24

    摘要: A method of supporting robot(s) landing within a ground region is provided. The method includes accessing a map in which the ground region is tessellated into cells covering respective areas of the ground region. Each cell is classified as feasible to indicate a respective area is feasible for landing, or infeasible to indicate the respective area is infeasible for landing. The map is searched for clusters of adjoining cells that are classified as feasible, covering clusters of adjoining areas that define sub-regions within the ground region that are feasible for landing. The sub-regions are ranked according to a cost metric, and one of the sub-regions is selected according to the ranking. A geographic position of the selected sub-region is then output for use in at least one of guidance, navigation or control of the robot(s) to land at the selected sub-region within the ground region.

    MANNED VERTICAL TAKE-OFF AND LANDING AERIAL VEHICLE NAVIGATION

    公开(公告)号:US20240199204A1

    公开(公告)日:2024-06-20

    申请号:US18546834

    申请日:2022-02-17

    摘要: Some embodiments relate to a manned vertical take-off and landing (VTOL) aerial vehicle (AV) and to methods relating to such VTOL AVs. An example vehicle comprises: a body comprising a cockpit; a propulsion system carried by the body to propel the body during flight; pilot-operable controls accessible from the cockpit; a sensing system configured to generate sensor data associated with a region around the manned VTOL AV; a control system configured to enable control of the manned VTOL AV to be shared between a pilot and an autonomous piloting system, wherein the control system may utilise the sensor data; and a three-dimensional model of the region; and program instructions to: determine a state estimate and a state estimate confidence metric; generate a three-dimensional point cloud of the region; generate a plurality of virtual particles within the three-dimensional model; compute a plurality of scores, each score being associated with one of the plurality of virtual particles; and update the state estimate based at least in part on the computed scores, thereby determining an updated state estimate.