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公开(公告)号:US20160378111A1
公开(公告)日:2016-12-29
申请号:US14044249
申请日:2013-10-02
Applicant: iRobot Corporation
Inventor: Scott R. Lenser , Christopher Vernon Jones , Brian Masao Yamauchi
CPC classification number: G05D1/0038 , G05D1/0027 , G05D1/0088 , G05D1/024 , G05D1/0251 , G05D1/0255 , G05D1/0257 , G05D1/027 , G05D1/0272 , G05D1/0274 , G05D1/0278 , G05D1/0297 , G05D2201/0209 , G06F3/0412 , H04L67/125
Abstract: A system for controlling one or more remote vehicles. The system includes an operator control unit with a touch-screen user interface comprising an initial screen including a map view window that facilitates operator entry of mission commands to one or more remote vehicles, a remote vehicle selection/detection window allowing the operator to see which remote vehicles have been detected by the operator control unit and select among those vehicles to display a detailed window for the selected remote vehicle, the detailed window including status information regarding the remote vehicle, and a button or icon for launching a control application including the initial screen and the remote vehicle selection/detection window. The map view window displays a map of a remote vehicle environment.
Abstract translation: 一种用于控制一个或多个远程车辆的系统。 该系统包括具有触摸屏用户界面的操作员控制单元,该触摸屏用户界面包括初始屏幕,其包括便于操作者将任务命令输入到一个或多个远程车辆的地图视图窗口,允许操作者查看哪个 已经由操作员控制单元检测到远程车辆,并在这些车辆中选择显示所选择的远程车辆的详细窗口,详细窗口包括关于远程车辆的状态信息,以及用于启动包括初始车辆的控制应用的按钮或图标 屏幕和远程车辆选择/检测窗口。 地图视图窗口显示远程车辆环境的地图。
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2.
公开(公告)号:US09037396B2
公开(公告)日:2015-05-19
申请号:US13900767
申请日:2013-05-23
Applicant: iRobot Corporation
Inventor: Robert Todd Pack , Scott R. Lenser , Justin H. Kearns , Orjeta Taka
CPC classification number: G05D1/0231 , G01C21/20 , G01C21/30 , G05D1/0214 , G05D1/0251 , G05D1/0274 , G05D2201/0211 , G06T7/277 , G06T7/73 , G06T2207/10021 , G06T2207/10024 , G06T2207/10028 , G06T2207/30244 , Y10S901/01 , Y10S901/47
Abstract: A method of localizing a mobile robot includes receiving sensor data of a scene about the robot and executing a particle filter having a set of particles. Each particle has associated maps representing a robot location hypothesis. The method further includes updating the maps associated with each particle based on the received sensor data, assessing a weight for each particle based on the received sensor data, selecting a particle based on its weight, and determining a location of the robot based on the selected particle.
Abstract translation: 定位移动机器人的方法包括接收关于机器人的场景的传感器数据,并执行具有一组粒子的粒子滤波器。 每个粒子都具有表示机器人位置假设的关联图。 该方法还包括基于接收的传感器数据更新与每个粒子相关联的图,基于接收的传感器数据评估每个粒子的权重,基于其权重选择粒子,以及基于所选择的确定机器人的位置 粒子。
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3.
公开(公告)号:US20140350839A1
公开(公告)日:2014-11-27
申请号:US13900767
申请日:2013-05-23
Applicant: iRobot Corporation
Inventor: Robert Todd Pack , Scott R. Lenser , Justin H. Kearns , Orjeta Taka
IPC: G01C21/30
CPC classification number: G05D1/0231 , G01C21/20 , G01C21/30 , G05D1/0214 , G05D1/0251 , G05D1/0274 , G05D2201/0211 , G06T7/277 , G06T7/73 , G06T2207/10021 , G06T2207/10024 , G06T2207/10028 , G06T2207/30244 , Y10S901/01 , Y10S901/47
Abstract: A method of localizing a mobile robot includes receiving sensor data of a scene about the robot and executing a particle filter having a set of particles. Each particle has associated maps representing a robot location hypothesis. The method further includes updating the maps associated with each particle based on the received sensor data, assessing a weight for each particle based on the received sensor data, selecting a particle based on its weight, and determining a location of the robot based on the selected particle.
Abstract translation: 定位移动机器人的方法包括接收关于机器人的场景的传感器数据,并执行具有一组粒子的粒子滤波器。 每个粒子都具有表示机器人位置假设的关联图。 该方法还包括基于接收的传感器数据更新与每个粒子相关联的图,基于接收的传感器数据评估每个粒子的权重,基于其权重选择粒子,以及基于所选择的确定机器人的位置 粒子。
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公开(公告)号:US09665096B2
公开(公告)日:2017-05-30
申请号:US14830429
申请日:2015-08-19
Applicant: iRobot Corporation
Inventor: Timothy G. Field , David F. Weatherwax , Orin P. F. Hoffman , Scott R. Lenser
CPC classification number: G05D1/0044 , G05D1/0088 , G05D1/027 , G05D1/0274 , G05D1/0278 , G05D2201/0207
Abstract: A method of operating a mobile robot includes driving the robot according to a drive command issued by a remote operator control unit in communication with the robot, determining a driven path from an origin, and after experiencing a loss of communications with the operator control unit, determining an orientation of the robot. The method further includes executing a self-righting maneuver when the robot is oriented upside down. The self-righting maneuver includes rotating an appendage of the robot from a stowed position alongside a main body of the robot downward and away from the main body, raising and supporting the main body on the appendage, and then further rotating the appendage to drive the upright main body past a vertical position, causing the robot to fall over and thereby invert the main body.
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公开(公告)号:US09329598B2
公开(公告)日:2016-05-03
申请号:US14685029
申请日:2015-04-13
Applicant: iRobot Corporation
Inventor: Robert Todd Pack , Scott R. Lenser , Justin H. Kearns , Orjeta Taka
CPC classification number: G05D1/0231 , G01C21/20 , G01C21/30 , G05D1/0214 , G05D1/0251 , G05D1/0274 , G05D2201/0211 , G06T7/277 , G06T7/73 , G06T2207/10021 , G06T2207/10024 , G06T2207/10028 , G06T2207/30244 , Y10S901/01 , Y10S901/47
Abstract: A method of localizing a mobile robot includes receiving sensor data of a scene about the robot and executing a particle filter having a set of particles. Each particle has associated maps representing a robot location hypothesis. The method further includes updating the maps associated with each particle based on the received sensor data, assessing a weight for each particle based on the received sensor data, selecting a particle based on its weight, and determining a location of the robot based on the selected particle.
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公开(公告)号:US20150355638A1
公开(公告)日:2015-12-10
申请号:US14830429
申请日:2015-08-19
Applicant: iRobot Corporation
Inventor: Timothy G. Field , David F. Weatherwax , Orin P.F. Hoffman , Scott R. Lenser
CPC classification number: G05D1/0044 , G05D1/0088 , G05D1/027 , G05D1/0274 , G05D1/0278 , G05D2201/0207
Abstract: A method of operating a mobile robot includes driving the robot according to a drive command issued by a remote operator control unit in communication with the robot, determining a driven path from an origin, and after experiencing a loss of communications with the operator control unit, determining an orientation of the robot. The method further includes executing a self-righting maneuver when the robot is oriented upside down. The self-righting maneuver includes rotating an appendage of the robot from a stowed position alongside a main body of the robot downward and away from the main body, raising and supporting the main body on the appendage, and then further rotating the appendage to drive the upright main body past a vertical position, causing the robot to fall over and thereby invert the main body.
Abstract translation: 一种操作移动机器人的方法包括:根据与机器人通信的远程操作员控制单元发出的驱动命令来驱动机器人,确定来自原点的驱动路径,以及在经历与操作者控制单元的通信丢失之后, 确定机器人的方向。 该方法进一步包括当机器人朝上颠倒时执行自行矫正机动。 自动机动包括将机器人的附件从机器人的主体向下并远离主体的收起位置旋转,将主体抬起并支撑在附件上,然后进一步旋转附件以驱动 直立主体经过垂直位置,导致机器人掉落,从而使主体倒转。
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7.
公开(公告)号:US20150212521A1
公开(公告)日:2015-07-30
申请号:US14685029
申请日:2015-04-13
Applicant: iRobot Corporation
Inventor: Robert Todd Pack , Scott R. Lenser , Justin H. Kearns , Orjeta Taka
IPC: G05D1/02
CPC classification number: G05D1/0231 , G01C21/20 , G01C21/30 , G05D1/0214 , G05D1/0251 , G05D1/0274 , G05D2201/0211 , G06T7/277 , G06T7/73 , G06T2207/10021 , G06T2207/10024 , G06T2207/10028 , G06T2207/30244 , Y10S901/01 , Y10S901/47
Abstract: A method of localizing a mobile robot includes receiving sensor data of a scene about the robot and executing a particle filter having a set of particles. Each particle has associated maps representing a robot location hypothesis. The method further includes updating the maps associated with each particle based on the received sensor data, assessing a weight for each particle based on the received sensor data, selecting a particle based on its weight, and determining a location of the robot based on the selected particle.
Abstract translation: 定位移动机器人的方法包括接收关于机器人的场景的传感器数据,并执行具有一组粒子的粒子滤波器。 每个粒子都具有表示机器人位置假设的关联图。 该方法还包括基于接收的传感器数据更新与每个粒子相关联的图,基于接收的传感器数据评估每个粒子的权重,基于其权重选择粒子,以及基于所选择的确定机器人的位置 粒子。
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