Adaptive mapping with spatial summaries of sensor data

    公开(公告)号:US09952053B2

    公开(公告)日:2018-04-24

    申请号:US15225158

    申请日:2016-08-01

    摘要: A system and method for mapping parameter data acquired by a robot mapping system is disclosed. Parameter data characterizing the environment is collected while the robot localizes itself within the environment using landmarks. Parameter data is recorded in a plurality of local grids, i.e., sub-maps associated with the robot position and orientation when the data was collected. The robot is configured to generate new grids or reuse existing grids depending on the robot's current pose, the pose associated with other grids, and the uncertainty of these relative pose estimates. The pose estimates associated with the grids are updated over time as the robot refines its estimates of the locations of landmarks from which determines its pose in the environment. Occupancy maps or other global parameter maps may be generated by rendering local grids into a comprehensive map indicating the parameter data in a global reference frame extending the dimensions of the environment.

    Mapping for autonomous mobile robots

    公开(公告)号:US11249482B2

    公开(公告)日:2022-02-15

    申请号:US16537155

    申请日:2019-08-09

    IPC分类号: G05D1/02 A47L11/40 G05D1/00

    摘要: A method includes constructing a map of an environment based on mapping data produced by an autonomous cleaning robot in the environment during a first cleaning mission. Constructing the map includes providing a label associated with a portion of the mapping data. The method includes causing a remote computing device to present a visual representation of the environment based on the map, and a visual indicator of the label. The method includes causing the autonomous cleaning robot to initiate a behavior associated with the label during a second cleaning mission.

    Carpet drift estimation using differential sensors or visual measurements

    公开(公告)号:US10974391B2

    公开(公告)日:2021-04-13

    申请号:US15949653

    申请日:2018-04-10

    摘要: Apparatus and methods for carpet drift estimation are disclosed. In certain implementations, a robotic device includes an actuator system to move the body across a surface. A first set of sensors can sense an actuation characteristic of the actuator system. For example, the first set of sensors can include odometry sensors for sensing wheel rotations of the actuator system. A second set of sensors can sense a motion characteristic of the body. The first set of sensors may be a different type of sensor than the second set of sensors. A controller can estimate carpet drift based at least on the actuation characteristic sensed by the first set of sensors and the motion characteristic sensed by the second set of sensors.

    CONTROL OF AUTONOMOUS MOBILE ROBOTS
    7.
    发明申请

    公开(公告)号:US20200375429A1

    公开(公告)日:2020-12-03

    申请号:US16425658

    申请日:2019-05-29

    IPC分类号: A47L11/40 G05D1/02

    摘要: An autonomous mobile robot includes a drive system to support the robot above a surface, a sensor system configured to generate a signal indicative of a location of the robot on the surface, and a controller operably connected to the drive system and the sensor system. The drive system is operable to navigate the robot about the surface. The controller is configured to execute instructions to perform operations including establishing a behavior control zone on the surface, controlling the drive system, in response to establishing the behavior control zone on the surface, to maneuver the robot to a location of the behavior control zone on the surface, and maneuvering, using the drive system, the robot about the surface and initiating a behavior in response to determining, based on the signal indicative of the location of the robot, that the robot is proximate the behavior control zone.

    Localization by Learning of Wave-Signal Distributions
    9.
    发明申请
    Localization by Learning of Wave-Signal Distributions 有权
    通过学习波信号分布进行本地化

    公开(公告)号:US20170050318A1

    公开(公告)日:2017-02-23

    申请号:US15248352

    申请日:2016-08-26

    IPC分类号: B25J9/16 G05D1/02

    摘要: A robot having a signal sensor configured to measure a signal, a motion sensor configured to measure a relative change in pose, a local correlation component configured to correlate the signal with the position and/or orientation of the robot in a local region including the robot's current position, and a localization component configured to apply a filter to estimate the position and optionally the orientation of the robot based at least on a location reported by the motion sensor, a signal detected by the signal sensor, and the signal predicted by the local correlation component. The local correlation component and/or the localization component may take into account rotational variability of the signal sensor and other parameters related to time and pose dependent variability in how the signal and motion sensor perform. Each estimated pose may be used to formulate new or updated navigational or operational instructions for the robot.

    摘要翻译: 具有被配置为测量信号的信号传感器的机器人,被配置为测量姿态的相对变化的运动传感器,配置成将信号与包括机器人的机器人的局部区域中的机器人的位置和/或取向相关联的局部相关分量 当前位置以及定位组件,其被配置为至少基于由运动传感器报告的位置,由信号传感器检测到的信号和由本地预测的信号来应用滤波器来估计机器人的位置和可选的姿态 相关分量。 局部相关分量和/或定位分量可以考虑信号传感器的旋转可变性以及与信号和运动传感器执行的时间和姿势相关的可变性相关的其它参数。 每个估计姿态可用于为机器人制定新的或更新的导航或操作指令。

    Adaptive mapping with spatial summaries of sensor data

    公开(公告)号:US09404756B2

    公开(公告)日:2016-08-02

    申请号:US14944152

    申请日:2015-11-17

    摘要: A system and method for mapping parameter data acquired by a robot mapping system is disclosed. Parameter data characterizing the environment is collected while the robot localizes itself within the environment using landmarks. Parameter data is recorded in a plurality of local grids, i.e., sub-maps associated with the robot position and orientation when the data was collected. The robot is configured to generate new grids or reuse existing grids depending on the robot's current pose, the pose associated with other grids, and the uncertainty of these relative pose estimates. The pose estimates associated with the grids are updated over time as the robot refines its estimates of the locations of landmarks from which determines its pose in the environment. Occupancy maps or other global parameter maps may be generated by rendering local grids into a comprehensive map indicating the parameter data in a global reference frame extending the dimensions of the environment.