一种机器人沿边行走的区域清扫规划方法、芯片及机器人

    公开(公告)号:WO2021248846A1

    公开(公告)日:2021-12-16

    申请号:PCT/CN2020/131195

    申请日:2020-11-24

    Abstract: 本发明公开一种机器人沿边行走的区域清扫规划方法、芯片及机器人,该区域清扫规划方法包括:在机器人实时扫描构建的激光地图上,控制机器人在当前的规划起点位置处框定的预限定清洁区域内作沿边行走,使得机器人在沿边行走过程中不跨出所述预限定清洁区域;同时根据所述预限定清洁区域内符合预设墙体环境条件的房间清洁分区的划分情况,控制机器人在相匹配的区域内沿边行走,当机器人在这个相匹配的区域内沿边行走返回所述规划起点位置时,控制机器人在这个相匹配的区域内执行规划式清扫;当机器人在这个相匹配的区域内完成规划式清扫时,控制机器人移动至未清扫区域的下一个规划起点位置,再重复前述步骤,直到检测不出未清扫区域。

    VISUAL-INERTIAL TRACKING USING ROLLING SHUTTER CAMERAS

    公开(公告)号:WO2022005698A1

    公开(公告)日:2022-01-06

    申请号:PCT/US2021/036096

    申请日:2021-06-07

    Applicant: SNAP INC.

    Abstract: Visual-inertial tracking of an eyewear device using a rolling shutter camera(s). The eyewear device includes a position determining system. Visual-inertial tracking is implemented by sensing motion of the eyewear device. An initial pose is obtained for a rolling shutter camera and an image of an environment is captured. The image includes feature points captured at a particular capture time. A number of poses for the rolling shutter camera is computed based on the initial pose and sensed movement of the device. The number of computed poses is responsive to the sensed movement of the mobile device. A computed pose is selected for each feature point in the image by matching the particular capture time for the feature point to the particular computed time for the computed pose. The position of the mobile device is determined within the environment using the feature points and the selected computed poses for the feature points.

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