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公开(公告)号:US20170102701A1
公开(公告)日:2017-04-13
申请号:US15354526
申请日:2016-11-17
Applicant: IROBOT CORPORATION
Inventor: Robert Todd Pack , James Allard , David S. Barrett , Misha Filippov , Selma Svendsen
CPC classification number: G05D1/0088 , G05D1/0011 , G05D1/0061 , G05D1/0214 , G05D1/024 , G05D1/0242 , G05D1/0248 , G05D1/0251 , G05D1/0255 , G05D1/0257 , G05D1/027 , G05D1/0272 , G05D1/0274 , G05D1/0278 , G06N3/008
Abstract: System and method for behavior based control of an autonomous vehicle. Actuators (e.g., linkages) manipulate input devices (e.g., articulation controls and drive controls, such as a throttle lever, steering gear, tie rods, throttle, brake, accelerator, or transmission shifter) to direct the operation of the vehicle. Behaviors that characterize the operational mode of the vehicle are associated with the actuators. The behaviors include action sets ranked by priority, and the action sets include alternative actions that the vehicle can take to accomplish its task. The alternative actions are ranked by preference, and an arbiter selects the action to be performed and, optionally, modified.
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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:US20150134146A1
公开(公告)日:2015-05-14
申请号:US14587396
申请日:2014-12-31
Applicant: iRobot Corporation
Inventor: Robert Todd Pack , Daniel P. Allis
CPC classification number: G05D1/0011 , G01C21/26 , G05D1/0038 , G05D2201/0209
Abstract: A system includes an operator control unit having a point-and-click interface configured to allow the operator to control the remote vehicle by inputting one or more commands via the point-and-click interface. The operator control unit displays a 3D local perceptual space comprising an egocentric coordinate system encompassing a predetermined distance centered on the remote vehicle, a remote vehicle representation having selectable portions, and an icon at a point selected in the 3D local perceptual space and at a corresponding location in an alternative view of a map having an identified current location of the remote vehicle. The system also includes a payload attached to the remote vehicle. The payload includes a computational module and an integrated sensor suite including a global positioning system, an inertial measurement unit, and a stereo vision camera.
Abstract translation: 系统包括操作员控制单元,其具有点对点接口,其被配置为允许操作者通过点击式界面输入一个或多个命令来控制远程车辆。 操作员控制单元显示3D本地感知空间,其包括包含以远程车辆为中心的预定距离的自我中心坐标系,具有可选部分的远程车辆表示和在3D局部感知空间中选择的点处的图标 在具有所识别的远程车辆的当前位置的地图的替代视图中的位置。 该系统还包括附接到远程车辆的有效载荷。 有效载荷包括计算模块和包括全球定位系统,惯性测量单元和立体视觉摄像机的集成传感器套件。
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公开(公告)号:US08903644B2
公开(公告)日:2014-12-02
申请号:US13688933
申请日:2012-11-29
Applicant: iRobot Corporation
Inventor: Robert Todd Pack
CPC classification number: G01C21/00 , G05D1/024 , G05D1/0251 , G05D1/027 , G05D1/0274 , G05D1/0278 , G05D2201/0209
Abstract: A method for mapping an environment proximal to a vehicle includes obtaining a current location of the vehicle according to a map of the environment, detecting at least one characteristic of the environment at the current location, and storing the at least one characteristic in a characteristic digest. The characteristic digest respectively associates one or more locations in the environment to one or more sets of previously detected characteristics in the environment. The method also includes associating the at least one characteristic with the current location in the characteristic digest.
Abstract translation: 用于映射邻近车辆的环境的方法包括根据环境图获得车辆的当前位置,检测当前位置处的环境的至少一个特征,以及将该至少一个特征存储在特征摘要中 。 特征摘要分别将环境中的一个或多个位置与环境中的一组或多组先前检测到的特征相关联。 该方法还包括将该至少一个特征与特征摘要中的当前位置相关联。
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公开(公告)号:US10088845B2
公开(公告)日:2018-10-02
申请号:US15354526
申请日:2016-11-17
Applicant: IROBOT CORPORATION
Inventor: Robert Todd Pack , James Allard , David S. Barrett , Misha Filippov , Selma Svendsen
Abstract: System and method for behavior based control of an autonomous vehicle. Actuators (e.g., linkages) manipulate input devices (e.g., articulation controls and drive controls, such as a throttle lever, steering gear, tie rods, throttle, brake, accelerator, or transmission shifter) to direct the operation of the vehicle. Behaviors that characterize the operational mode of the vehicle are associated with the actuators. The behaviors include action sets ranked by priority, and the action sets include alternative actions that the vehicle can take to accomplish its task. The alternative actions are ranked by preference, and an arbiter selects the action to be performed and, optionally, modified.
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公开(公告)号:US09327403B2
公开(公告)日:2016-05-03
申请号:US14036451
申请日:2013-09-25
Applicant: iRobot Corporation
Inventor: Robert Todd Pack , Orjeta Taka
CPC classification number: B25J9/1664 , G05B2219/40519 , G05D1/0088 , G05D1/0238 , G05D1/0251 , G05D1/027 , G05D1/0272 , G05D1/0274 , G05D2201/0209 , G05D2201/0213 , G06N3/008
Abstract: A method of commanding a remote vehicle includes executing a command on a controller of the remote vehicle based on a kinodynamic fixed depth motion planning algorithm to use incremental feedback from evaluators to select a best feasible action. The method also includes determining servo commands corresponding to the best feasible action for one or more actuators of a drive system or a manipulation system of the remote vehicle and commanding the one or more actuators of the remote vehicle based on the servo commands. The best feasible action includes actions within a fixed time horizon of several seconds from a current time each time a feasible action is selected.
Abstract translation: 一种命令远程车辆的方法包括基于动力学固定深度运动规划算法在远程车辆的控制器上执行命令,以使用来自评估者的增量反馈来选择最佳可行动作。 该方法还包括确定对应于远程车辆的驱动系统或操纵系统的一个或多个致动器的最佳可行动作的伺服命令,并基于伺服命令来命令远程车辆的一个或多个致动器。 最佳可行动作包括在每次选择可行动作时,从当前时间几秒钟的固定时间范围内的动作。
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17.
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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