SYSTEMS AND METHODS FOR INITIALIZING A ROBOT TO AUTONOMOUSLY TRAVEL A TRAINED ROUTE

    公开(公告)号:US20190171210A1

    公开(公告)日:2019-06-06

    申请号:US16268861

    申请日:2019-02-06

    Abstract: Systems and methods for initializing a robot to autonomously travel a route are disclosed. In some exemplary implementations, a robot can detect an initialization object and then determine its position relative to that initialization object. The robot can then learn a route by user demonstration, where the robot associates actions along that route with positions relative to the initialization object. The robot can later detect the initialization object again and determine its position relative to that initialization object. The robot can then autonomously navigate the learned route, performing actions associated with positions relative to the initialization object.

    Systems and methods for robotic mapping

    公开(公告)号:US10823576B2

    公开(公告)日:2020-11-03

    申请号:US16356160

    申请日:2019-03-18

    Abstract: Systems and methods for robotic mapping are disclosed. In some exemplary implementations, a robot can travel in an environment. From travelling in the environment, the robot can create a graph comprising a plurality of nodes, wherein each node corresponds to a scan taken by a sensor of the robot at a location in the environment. In some exemplary implementations, the robot can generate a map of the environment from the graph. In some cases, to facilitate map generation, the robot can constrain the graph to start and end at a substantially similar location. The robot can also perform scan matching on extended scan groups, determined from identifying overlap between scans, to further determine the location of features in a map.

    SYSTEMS AND METHODS FOR INITIALIZING A ROBOT TO AUTONOMOUSLY TRAVEL A TRAINED ROUTE

    公开(公告)号:US20220083058A1

    公开(公告)日:2022-03-17

    申请号:US17461153

    申请日:2021-08-30

    Abstract: Systems and methods for initializing a robot to autonomously travel a route are disclosed. In some exemplary implementations, a robot can detect an initialization object and then determine its position relative to that initialization object. The robot can then learn a route by user demonstration, where the robot associates actions along that route with positions relative to the initialization object. The robot can later detect the initialization object again and determine its position relative to that initialization object. The robot can then autonomously navigate the learned route, performing actions associated with positions relative to the initialization object.

    SYSTEMS AND METHODS FOR ROBOTIC MAPPING
    9.
    发明申请

    公开(公告)号:US20190249998A1

    公开(公告)日:2019-08-15

    申请号:US16356160

    申请日:2019-03-18

    Abstract: Systems and methods for robotic mapping are disclosed In some exemplary implementations, a robot can travel in an environment. From travelling in the environment, the robot can create a graph comprising a plurality of nodes, wherein each node corresponds to a scan taken by a sensor of the robot at a location in the environment. In some exemplary implementations, the robot can generate a map of the environment from the graph. In some cases, to facilitate map generation, the robot can constrain the graph to start and end at a substantially similar location. The robot can also perform scan matching on extended scan groups, determined from identifying overlap between scans, to further determine the location of features in a map.

    Systems and methods for robotic mapping

    公开(公告)号:US10274325B2

    公开(公告)日:2019-04-30

    申请号:US15340807

    申请日:2016-11-01

    Abstract: Systems and methods for robotic mapping are disclosed. In some exemplary implementations, a robot can travel in an environment. From travelling in the environment, the robot can create a graph comprising a plurality of nodes, wherein each node corresponds to a scan taken by a sensor of the robot at a location in the environment. In some exemplary implementations, the robot can generate a map of the environment from the graph. In some cases, to facilitate map generation, the robot can constrain the graph to start and end at a substantially similar location. The robot can also perform scan matching on extended scan groups, determined from identifying overlap between scans, to further determine the location of features in a map.

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