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    • 1. 发明申请
    • MODIFYING LEARNING CAPABILITIES OF LEARNING DEVICES
    • 修改学习设备的学习能力
    • WO2014190340A2
    • 2014-11-27
    • PCT/US2014/039469
    • 2014-05-24
    • QUALCOMM INCORPORATED
    • CANOY, Michael-David NakayoshiSPRIGG, Stephen Alton
    • G06N99/00
    • G06N99/005
    • Various embodiments for modifying learning capabilities within a decentralized system of learning devices, a method including receiving, at a learning device, a signal from a nearby device, determining whether the received signal is a learning modifier signal based on data within the received signal, and modifying one or more of the learning capabilities in response to determining that the received signal is the learning modifier signal. The method may further include determining whether subsequent learning modifier signals are received, and resetting the modified one or more of the learning capabilities in response to determining that the subsequent learning modifier signals are not received. Modifying learning capabilities may include enabling or disabling a learning mode of the learning device and/or adjusting values of variables used to calculate trigger weights of reflexes. When subsequent learning modifier signals are not received, the learning device may reset modified learning capabilities.
    • 用于修改分散式学习装置系统中的学习能力的各种实施例,一种方法,包括在学习装置处接收来自附近装置的信号,基于接收到的信号内的数据确定接收到的信号是否是学习修改器信号;以及 响应于确定所接收的信号是学习修改器信号来修改学习能力中的一个或多个。 该方法还可以包括确定是否接收后续学习修改器信号,以及响应于确定未接收到后续学习修改器信号来重置所修改的一个或多个学习能力。 修改学习功能可以包括启用或禁用学习设备的学习模式和/或调整用于计算反射的触发权重的变量的值。 当未接收到随后的学习修改器信号时,学习设备可以重置修改的学习能力。
    • 4. 发明申请
    • CONTROL NORMALIZATION FOR UNMANNED AUTONOMOUS SYSTEMS
    • 控制不规范自动系统的正常化
    • WO2017011075A1
    • 2017-01-19
    • PCT/US2016/033764
    • 2016-05-23
    • QUALCOMM INCORPORATED
    • CHAU, Kiet TuanCANOY, Michael-David NakayoshiDEVICO, Michael OrlandoSPRIGG, Stephen Alton
    • G05D1/00
    • B64C13/06B64C39/024B64C2201/141B64C2201/146G05B13/04G05D1/0022
    • Methods, systems, and process-readable media include an autonomous vehicle override control system that receives override commands from a pilot qualified on a first type of unmanned autonomous vehicle (UAV) and translates the inputs into suitable commands transmitted to a target UAV of a second UAV type. A pilot's certification for a first UAV type may be determined from the pilot's login credentials. The system may obtain a first control model for the first UAV type and a second control model for the target UAV. Pilot input commands processed through the first control model may be used to calculate movements of a virtual UAV of the type. The system may estimate physical movement of the target UAV similar to the first physical movement, and generate an override command for the target UAV using the second control model and the second physical movement. Control models may accommodate current conditions and pilot experience.
    • 方法,系统和过程可读介质包括自动车辆覆盖控制系统,其从在第一类型的无人自主车辆(UAV)上限定的飞行器接收超控命令,并且将输入转换为传输到第二类型的目标UAV的合适命令 无人机类型。 飞行员的第一个UAV类型的认证可以从飞行员的登录凭据确定。 该系统可以获得用于第一UAV类型的第一控制模型和用于目标UAV的第二控制模型。 可以使用通过第一控制模型处理的导频输入命令来计算该类型的虚拟UAV的移动。 系统可以估计目标UAV的物理运动,类似于第一物理运动,并且使用第二控制模型和第二物理运动生成针对目标UAV的覆盖命令。 控制模型可以适应当前条件和飞行员体验。
    • 7. 发明申请
    • NEAR-FLIGHT TESTING MANEUVERS FOR AUTONOMOUS AIRCRAFT
    • 用于自主飞机的近程飞行测试人员
    • WO2016137588A1
    • 2016-09-01
    • PCT/US2016/012838
    • 2016-01-11
    • QUALCOMM INCORPORATED
    • CANOY, Michael-David NakayoshiCHAU, Kiet TuanSPRIGG, Stephen Alton
    • B64F5/00
    • G05D1/0816B64C2201/027B64C2201/042B64C2201/128B64C2201/145B64F5/60G01M17/00G05D1/0011G05D1/0858G05D1/101
    • Methods, devices, systems, and non-transitory process-readable media for evaluating operating conditions of an autonomous aircraft before performing a mission by executing brief near-flight testing maneuvers at a low elevation. A processor of the autonomous aircraft may receive near-flight testing maneuver instructions that indicate a near-flight testing maneuver to be executed by the autonomous aircraft. The processor may control motors to cause the aircraft to execute a near-flight testing maneuver within a testing area, obtain data indicating stability and performance information while executing the near-flight testing maneuvers, and take an action in response to the obtained data. Actions may include adjusting a position of a payload, a weight or a portion of the aircraft based, and adjusting a flight plan. The near-flight testing maneuvers may include a sequence of moves for testing stability of the aircraft and payload executing a flight path under anticipated flying conditions.
    • 方法,装置,系统和非暂时的过程可读介质,用于在执行任务之前通过在低海拔执行短暂的近距离飞行测试机动来评估自主飞机的运行状况。 自主飞行器的处理器可以接收飞行中的飞行试验机动指令,其指示将由自主飞行器执行的近飞测试机动。 处理器可以控制电机以使飞行器在测试区域内执行接近飞行的测试操作,在执行近飞测试操作时获得指示稳定性和性能信息的数据,并响应于获得的数据采取动作。 动作可以包括调整有效载荷的位置,重量或飞行器的一部分,以及调整飞行计划。 近飞测试机动可能包括一系列移动,用于测试飞机的稳定性和在预期飞行条件下执行飞行路径的有效载荷。