Autonomous Mobile Robot
    1.
    发明申请

    公开(公告)号:US20180352735A1

    公开(公告)日:2018-12-13

    申请号:US16106540

    申请日:2018-08-21

    Abstract: A robot lawnmower includes a robot body, a drive system, a localizing system, a teach monitor, and a controller in communication with one another. The drive system is configured to maneuver the robot lawnmower over a lawn. The teach monitor determines whether the robot lawnmower is in a teachable state. The controller includes a data processing device and non-transitory memory in communication with the data processing device. The data processing device executes a teach routine when the controller is in a teach mode for tracing a confinement perimeter around the lawn as a human operator pilots the robot lawn mower, when the robot lawnmower is in the teachable state, the teach routine stores global positions determined by the localizing system in the non-transitory memory, and when the robot lawnmower is in the unteachable state, the teach routine issues an indication of the unteachable state.

    Autonomous mobile robot
    2.
    发明授权

    公开(公告)号:US10091930B2

    公开(公告)日:2018-10-09

    申请号:US15379796

    申请日:2016-12-15

    Abstract: A robot lawnmower includes a robot body, a drive system, a localizing system, a teach monitor, and a controller in communication with one another. The drive system is configured to maneuver the robot lawnmower over a lawn. The teach monitor determines whether the robot lawnmower is in a teachable state. The controller includes a data processing device and non-transitory memory in communication with the data processing device. The data processing device executes a teach routine when the controller is in a teach mode for tracing a confinement perimeter around the lawn as a human operator pilots the robot lawn mower, when the robot lawnmower is in the teachable state, the teach routine stores global positions determined by the localizing system in the non-transitory memory, and when the robot lawnmower is in the unteachable state, the teach routine issues an indication of the unteachable state.

    Autonomous Mobile Robot
    3.
    发明申请

    公开(公告)号:US20170094897A1

    公开(公告)日:2017-04-06

    申请号:US15379796

    申请日:2016-12-15

    Abstract: A robot lawnmower includes a robot body, a drive system, a localizing system, a teach monitor, and a controller in communication with one another. The drive system is configured to maneuver the robot lawnmower over a lawn. The teach monitor determines whether the robot lawnmower is in a teachable state. The controller includes a data processing device and non-transitory memory in communication with the data processing device. The data processing device executes a teach routine when the controller is in a teach mode for tracing a confinement perimeter around the lawn as a human operator pilots the robot lawn mower, when the robot lawnmower is in the teachable state, the teach routine stores global positions determined by the localizing system in the non-transitory memory, and when the robot lawnmower is in the unteachable state, the teach routine issues an indication of the unteachable state.

    CONTROLLING ROBOTIC LAWNMOWERS
    4.
    发明申请
    CONTROLLING ROBOTIC LAWNMOWERS 审中-公开
    控制机器人

    公开(公告)号:US20170020064A1

    公开(公告)日:2017-01-26

    申请号:US14808613

    申请日:2015-07-24

    CPC classification number: A01D34/008 A01G25/09 G05D2201/0208 Y10S901/01

    Abstract: A method of mowing with an autonomous robot lawnmower includes traversing a mowable area with the autonomous robot lawnmower carrying a cutter and a vegetation characteristic sensor. The vegetation characteristic sensor is configured to generate sensor data in response to detecting a vegetation characteristic of the mowable area. The vegetation characteristic is selected from the group consisting of a moisture content, a grass height, and a color. The method includes storing position-referenced data representing the vegetation characteristic detected across the mowable area. The position-referenced data is based at least in part on the sensor data and position data. The method includes sending data to a remote device to cause the remote device to display a map including information based on the position-referenced data.

    Abstract translation: 一种用自动机器人割草机割草的方法包括:用自动机器人割草机穿过切割机和植被特征传感器的可移动区域。 植被特征传感器被配置为响应于检测到可植被区域的植被特征而产生传感器数据。 植被特征选自水分含量,草地高度和颜色。 该方法包括存储表示在可割开区域上检测到的植被特征的位置参考数据。 位置参考数据至少部分地基于传感器数据和位置数据。 该方法包括向远程设备发送数据以使远程设备基于位置参考数据显示包括信息的地图。

    Controlling robotic lawnmowers
    5.
    发明授权

    公开(公告)号:US12114595B2

    公开(公告)日:2024-10-15

    申请号:US17035274

    申请日:2020-09-28

    CPC classification number: A01D34/008 A01G25/09 Y10S901/01

    Abstract: A method of mowing with an autonomous robot lawnmower includes traversing a mowable area with the autonomous robot lawnmower carrying a cutter and a vegetation characteristic sensor. The vegetation characteristic sensor is configured to generate sensor data in response to detecting a vegetation characteristic of the mowable area. The vegetation characteristic is selected from the group consisting of a moisture content, a grass height, and a color. The method includes storing position-referenced data representing the vegetation characteristic detected across the mowable area. The position-referenced data is based at least in part on the sensor data and position data. The method includes sending data to a remote device to cause the remote device to display a map including information based on the position-referenced data.

    Controlling robotic lawnmowers based on fluctuating weather conditions

    公开(公告)号:US10785907B2

    公开(公告)日:2020-09-29

    申请号:US16037090

    申请日:2018-07-17

    Abstract: A method of mowing with an autonomous robot lawnmower includes traversing a mowable area with the autonomous robot lawnmower carrying a cutter and a vegetation characteristic sensor. The vegetation characteristic sensor is configured to generate sensor data in response to detecting a vegetation characteristic of the mowable area. The vegetation characteristic is selected from the group consisting of a moisture content, a grass height, and a color. The method includes storing position-referenced data representing the vegetation characteristic detected across the mowable area. The position-referenced data is based at least in part on the sensor data and position data. The method includes sending data to a remote device to cause the remote device to display a map including information based on the position-referenced data.

    Controlling robotic lawnmowers
    7.
    发明授权

    公开(公告)号:US10034421B2

    公开(公告)日:2018-07-31

    申请号:US14808613

    申请日:2015-07-24

    CPC classification number: A01D34/008 A01G25/09 G05D2201/0208 Y10S901/01

    Abstract: A method of mowing with an autonomous robot lawnmower includes traversing a mowable area with the autonomous robot lawnmower carrying a cutter and a vegetation characteristic sensor. The vegetation characteristic sensor is configured to generate sensor data in response to detecting a vegetation characteristic of the mowable area. The vegetation characteristic is selected from the group consisting of a moisture content, a grass height, and a color. The method includes storing position-referenced data representing the vegetation characteristic detected across the mowable area. The position-referenced data is based at least in part on the sensor data and position data. The method includes sending data to a remote device to cause the remote device to display a map including information based on the position-referenced data.

    CONTROLLING ROBOTIC LAWNMOWERS
    8.
    发明申请

    公开(公告)号:US20250089606A1

    公开(公告)日:2025-03-20

    申请号:US18913039

    申请日:2024-10-11

    Abstract: A method of mowing with an autonomous robot lawnmower includes traversing a mowable area with the autonomous robot lawnmower carrying a cutter and a vegetation characteristic sensor. The vegetation characteristic sensor is configured to generate sensor data in response to detecting a vegetation characteristic of the mowable area. The vegetation characteristic is selected from the group consisting of a moisture content, a grass height, and a color. The method includes storing position-referenced data representing the vegetation characteristic detected across the mowable area. The position-referenced data is based at least in part on the sensor data and position data. The method includes sending data to a remote device to cause the remote device to display a map including information based on the position-referenced data.

    CONTROLLING ROBOTIC LAWNMOWERS
    9.
    发明申请

    公开(公告)号:US20210076562A1

    公开(公告)日:2021-03-18

    申请号:US17035274

    申请日:2020-09-28

    Abstract: A method of mowing with an autonomous robot lawnmower includes traversing a mowable area with the autonomous robot lawnmower carrying a cutter and a vegetation characteristic sensor. The vegetation characteristic sensor is configured to generate sensor data in response to detecting a vegetation characteristic of the mowable area. The vegetation characteristic is selected from the group consisting of a moisture content, a grass height, and a color. The method includes storing position-referenced data representing the vegetation characteristic detected across the mowable area. The position-referenced data is based at least in part on the sensor data and position data. The method includes sending data to a remote device to cause the remote device to display a map including information based on the position-referenced data.

    Autonomous mobile robot
    10.
    发明授权

    公开(公告)号:US10390483B2

    公开(公告)日:2019-08-27

    申请号:US16106540

    申请日:2018-08-21

    Abstract: A robot lawnmower includes a robot body, a drive system, a localizing system, a teach monitor, and a controller in communication with one another. The drive system is configured to maneuver the robot lawnmower over a lawn. The teach monitor determines whether the robot lawnmower is in a teachable state. The controller includes a data processing device and non-transitory memory in communication with the data processing device. The data processing device executes a teach routine when the controller is in a teach mode for tracing a confinement perimeter around the lawn as a human operator pilots the robot lawn mower, when the robot lawnmower is in the teachable state, the teach routine stores global positions determined by the localizing system in the non-transitory memory, and when the robot lawnmower is in the unteachable state, the teach routine issues an indication of the unteachable state.

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