The invention discloses a split-type self-adaptive environment intelligent detection robot and a method thereof, and the method comprises the steps: recording current position information through a navigation system when a quadruped robot detects vision or an action route is blocked; the unmanned aerial vehicle starts to detect environment information and sends instruction information to the quadruped robot according to the obtained environment information; according to the instruction information, the quadruped robot adopts a DWA dynamic window method to carry out path planning so as to avoid obstacles, or the unmanned aerial vehicle completes a detection task after in-situ standby; the quadruped robot and the unmanned aerial vehicle send positioning applications respectively, position information of the unmanned aerial vehicle and the quadruped robot is positioned through a navigation system, a docking convergence point is determined, and the unmanned aerial vehicle returns to a cabin of the quadruped robot for standby after completing docking; and the quadruped robot returns to the designated position, and self-adaptive environment intelligent detection is completed. The problem that the detection range of an existing detection robot is flattened can be solved.

    本发明公开了一种分体式自适应环境智能侦测机器人及其方法,当四足机器人探测视觉或行动路线受阻时,通过导航系统记录当前位置信息;无人机启动探测环境信息,根据获取的环境信息向四足机器人发送指令信息;四足机器人根据指令信息,采用DWA动态窗口法进行路径规划以避开障碍物,或原地待命由无人机完成侦测任务;四足机器人和无人机分别发送定位申请,通过导航系统定位无人机和四足机器人的位置信息,并确定对接汇合点,无人机完成对接后返回四足机器人的舱室内待机;四足机器人返回指定位置处,完成自适应环境智能侦测。能够解决现有探测机器人探测范围扁平化的问题。


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    Title :

    Split type self-adaptive environment intelligent detection robot and method thereof


    Additional title:

    一种分体式自适应环境智能侦测机器人及其方法


    Contributors:
    LIN HAI (author) / LU RUIXING (author) / FENG YINGBIN (author) / YAN YIHANG (author) / CHENG RONGRONG (author) / BAEK JIN-HYEOK (author) / LI TONGYAO (author) / SHEN CHENGSHUO (author) / ZHANG YU (author) / DONG YUAN (author)

    Publication date :

    2024-03-01


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B62D MOTOR VEHICLES , Motorfahrzeuge / B25J Manipulatoren , MANIPULATORS



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