Localization method and robot using the same

    公开(公告)号:US11474204B2

    公开(公告)日:2022-10-18

    申请号:US16699765

    申请日:2019-12-02

    Abstract: The present disclosure provides a localization method as well as a robot using the same. The method includes: obtaining laser scan points and particles; mapping each of the laser scan points to a global coordinate system based on each of the particles to obtain global boundary points of each of the particles; finding a matching boundary point in the global boundary points by comparing the global boundary points of the particle with points corresponding to static objects in a known map; calculating a distance between the matching boundary point of the particle and the points corresponding to the static objects, and increasing a weight of the matching boundary point if the distance is less than a preset threshold; calculating a weight of the particle by matching the global boundary points of the particle with the known map; and estimating a localization result.

    Path tracking method and mobile robot using the same

    公开(公告)号:US11287825B2

    公开(公告)日:2022-03-29

    申请号:US16576794

    申请日:2019-09-20

    Abstract: The present disclosure provides a path tracking method as well as a mobile robot using the same. The method includes: obtaining a preset path and a current position of the mobile device; determining a forward-looking path point corresponding to the current position on the preset path; obtaining a path curvature corresponding to the forward-looking path point; and determining an adjustment velocity of the mobile device at the current position based on the path curvature corresponding to the forward-looking path point. In this manner, the adjustment velocity of the mobile device can be determined based on the curvature of the path, so as to adjust the velocity of the mobile device and improve the stability of path tracking of the mobile device at different path curvatures.

    LOCALIZATION METHOD AND ROBOT USING THE SAME

    公开(公告)号:US20200241112A1

    公开(公告)日:2020-07-30

    申请号:US16699765

    申请日:2019-12-02

    Abstract: The present disclosure provides a localization method as well as a robot using the same. The method includes: obtaining laser scan points and particles; mapping each of the laser scan points to a global coordinate system based on each of the particles to obtain global boundary points of each of the particles; finding a matching boundary point in the global boundary points by comparing the global boundary points of the particle with points corresponding to static objects in a known map; calculating a distance between the matching boundary point of the particle and the points corresponding to the static objects, and increasing a weight of the matching boundary point if the distance is less than a preset threshold; calculating a weight of the particle by matching the global boundary points of the particle with the known map; and estimating a localization result.

    Robot path planning method and apparatus and robot using the same

    公开(公告)号:US11161246B2

    公开(公告)日:2021-11-02

    申请号:US16734402

    申请日:2020-01-05

    Abstract: The present disclosure provides a robot path planning method as well as an apparatus and a robot using the same. The method includes: obtaining a grid map and obtaining a position of obstacle and a position of track in the grid map; determining a cost of grids of the grid map based on the position of obstacle and the position of track; generating a grid cost map based on the cost of the grids and the grid map; and planning a global path of the robot from a current position to a destination position based on the grid cost map. In this manner, it effectively integrates free navigation and track navigation, thereby improving the flexibility of obstacle avoidance and ensuring the safety of obstacle avoidance of the robot.

    Relocalization method and robot using the same

    公开(公告)号:US11045953B2

    公开(公告)日:2021-06-29

    申请号:US16427349

    申请日:2019-05-31

    Abstract: The present disclosure provides a relocalization method including: obtaining submap boundary points; drawing a first submap based on the submap boundary points; extracting a second submap from the first submap; performing a template matching on a known map based on the second submap to obtain first matching results; obtaining second matching result each corresponding to each of the first matching results based on a positional relationship of the second submap in the first submap: matching boundary points in each of the second matching results with the submap boundary points to filter out third matching results from the second matching results; and selecting one of the third matching results as a relocalization result. The present disclosure further provides a robot. In the above-mentioned manner, it is capable of realizing a re localization with high accuracy, high preciseness, and low error rate while there are environmental changes.

    ROBOT PATH PLANNING METHOD AND APPARATUS AND ROBOT USING THE SAME

    公开(公告)号:US20210154835A1

    公开(公告)日:2021-05-27

    申请号:US16734402

    申请日:2020-01-05

    Abstract: The present disclosure provides a robot path planning method as well as an apparatus and a robot using the same. The method includes: obtaining a grid map and obtaining a position of obstacle and a position of track in the grid map; determining a cost of grids of the grid map based on the position of obstacle and the position of track; generating a grid cost map based on the cost of the grids and the grid map; and planning a global path of the robot from a current position to a destination position based on the grid cost map. In this manner, it effectively integrates free navigation and track navigation, thereby improving the flexibility of obstacle avoidance and ensuring the safety of obstacle avoidance of the robot.

    Robot localization method and apparatus and robot using the same

    公开(公告)号:US11267130B2

    公开(公告)日:2022-03-08

    申请号:US16727948

    申请日:2019-12-27

    Abstract: The present disclosure relates to robot technology, and particularly to a robot localization method as well as an apparatus and a robot using the same. The method includes: obtaining a set of particles for localizing the robot; updating a position of each particle in the set of particles based on a preset motion model to obtain the updated position of the particle; obtaining laser measurement data and UWB measurement data; calculating a matching probability of each particle based on the laser measurement data, the UWB measurement data, and the updated position of the particle; and localizing the robot based on the matching probability of each particle. In such a manner, the UWB measurement data is applied to the traditional particle filtering localization algorithm based on laser measurement data so as to enhance the localization precision in large indoor scenes.

    ROBOT LOCALIZATION METHOD AND APPARATUS AND ROBOT USING THE SAME

    公开(公告)号:US20210129341A1

    公开(公告)日:2021-05-06

    申请号:US16727948

    申请日:2019-12-27

    Abstract: The present disclosure relates to robot technology, and particularly to a robot localization method as well as an apparatus and a robot using the same. The method includes: obtaining a set of particles for localizing the robot; updating a position of each particle in the set of particles based on a preset motion model to obtain the updated position of the particle; obtaining laser measurement data and UWB measurement data; calculating a matching probability of each particle based on the laser measurement data, the UWB measurement data, and the updated position of the particle; and localizing the robot based on the matching probability of each particle. In such a manner, the UWB measurement data is applied to the traditional particle filtering localization algorithm based on laser measurement data so as to enhance the localization precision in large indoor scenes.

    RELOCALIZATION METHOD AND ROBOT USING THE SAME

    公开(公告)号:US20200206927A1

    公开(公告)日:2020-07-02

    申请号:US16427349

    申请日:2019-05-31

    Abstract: The present disclosure provides a relocalization method including: obtaining submap boundary points; drawing a first submap based on the submap boundary points; extracting a second submap from the first submap; performing a template matching on a known map based on the second submap to obtain first matching results; obtaining second matching result each corresponding to each of the first matching results based on a positional relationship of the second submap in the first submap: matching boundary points in each of the second matching results with the submap boundary points to filter out third matching results from the second matching results; and selecting one of the third matching results as a relocal i/at ion result. The present disclosure further provides a robot. In the above-mentioned manner, it is capable of realizing a re localization with high accuracy, high preciseness, and low error rate while there are environmental changes.

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