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    • 4. 发明申请
    • Advanced Behavior Engine
    • 高级行为引擎
    • US20120010772A1
    • 2012-01-12
    • US13105872
    • 2011-05-11
    • Robert Todd PackOrjeta Taka
    • Robert Todd PackOrjeta Taka
    • G05D1/00
    • B25J9/1664G05B2219/40519G05D1/0088G05D1/0238G05D1/0251G05D1/027G05D1/0272G05D1/0274G05D2201/0209G05D2201/0213G06N3/008
    • A method of generating a command for a remote vehicle controller by taking in goals and constraints compiled from behavior inputs and action models, and controlling resources by producing low-level actuator commands that realize goals expressed by the behaviors. The method comprises: executing a command based on a kinodynamic fixed depth motion planning (KFDMP) algorithm to plan paths with longer time horizons and to use incremental feedback from evaluators to select a best feasible course of action; and feeding the selected best feasible course of action as servo commands to a drive system or a manipulation system of the remote vehicle controller. The selected best feasible course of action comprises goal-achieving actions within a fixed time horizon of several seconds from the current time each time a course of action is selected.
    • 通过采取从行为输入和动作模型编制的目标和约束来生成用于远程车辆控制器的命令的方法,以及通过产生实现由行为表达的目标的低级致动器命令来控制资源的方法。 该方法包括:执行基于动力学固定深度运动规划(KFDMP)算法的命令来规划具有较长时间间隔的路径,并使用来自评估者的增量反馈来选择最佳可行的行动过程; 并将所选择的最佳可行行动作为伺服命令馈送到远程车辆控制器的驱动系统或操纵系统。 所选择的最佳可行行动包括在每次选择行动时从当前时间几秒钟的固定时间范围内的目标实现动作。
    • 9. 发明授权
    • Advanced behavior engine
    • 高级行为引擎
    • US08571745B2
    • 2013-10-29
    • US13105872
    • 2011-05-11
    • Robert Todd PackOrjeta Taka
    • Robert Todd PackOrjeta Taka
    • G01C22/00G05D1/00
    • B25J9/1664G05B2219/40519G05D1/0088G05D1/0238G05D1/0251G05D1/027G05D1/0272G05D1/0274G05D2201/0209G05D2201/0213G06N3/008
    • A method of generating a command for a remote vehicle controller by taking in goals and constraints compiled from behavior inputs and action models, and controlling resources by producing low-level actuator commands that realize goals expressed by the behaviors. The method comprises: executing a command based on a kinodynamic fixed depth motion planning (KFDMP) algorithm to plan paths with longer time horizons and to use incremental feedback from evaluators to select a best feasible course of action; and feeding the selected best feasible course of action as servo commands to a drive system or a manipulation system of the remote vehicle controller. The selected best feasible course of action comprises goal-achieving actions within a fixed time horizon of several seconds from the current time each time a course of action is selected.
    • 通过采取从行为输入和动作模型编制的目标和约束来生成远程车辆控制器的命令的方法,以及通过产生实现由行为表达的目标的低级致动器命令来控制资源的方法。 该方法包括:执行基于动力学固定深度运动规划(KFDMP)算法的命令来规划具有较长时间间隔的路径,并使用来自评估者的增量反馈来选择最佳可行的行动过程; 并将所选择的最佳可行行动作为伺服命令馈送到远程车辆控制器的驱动系统或操纵系统。 所选择的最佳可行行动包括在每次选择行动时从当前时间几秒钟的固定时间范围内的目标实现动作。