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    • 2. 发明申请
    • SYSTEMS AND METHODS FOR RAILYARD ROBOTICS
    • RAILYARD ROBOTICS的系统和方法
    • US20160059416A1
    • 2016-03-03
    • US14473241
    • 2014-08-29
    • General Electric Company
    • Tai-Peng TianBurt TheurerBalajee KannanHuan TanArpit JainGuiju Song
    • B25J9/16B25J5/02
    • B25J9/1666B25J5/007B25J5/02B25J9/1697B25J19/023Y10S901/01Y10S901/09
    • A robot in one embodiment includes a navigation system, a manipulation unit, a visual recognition unit, and a processing unit. The visual recognition unit includes at least one detector configured to acquire presence information of humans within at least a portion of the area. The processing unit is operably coupled to the navigation system, manipulation unit, and visual recognition unit, and is configured to determine a presence of a human within at least one predetermined range of the robot using the presence information from the visual recognition unit, determine at least one control action responsive to determining the presence of the human within the at least one predetermined range, and control at least one of the navigation system or manipulation unit to implement the at least one control action.
    • 一个实施例中的机器人包括导航系统,操纵单元,视觉识别单元和处理单元。 视觉识别单元包括至少一个检测器,其被配置为获取该区域的至少一部分内的人的存在信息。 处理单元可操作地耦合到导航系统,操纵单元和视觉识别单元,并且被配置为使用来自视觉识别单元的存在信息来确定在机器人的至少一个预定范围内的人的存在, 至少一个控制动作响应于在所述至少一个预定范围内确定所述人的存在,以及控制所述导航系统或操纵单元中的至少一个以实现所述至少一个控制动作。
    • 7. 发明授权
    • Systems and methods for railyard robotics
    • railyard机器人的系统和方法
    • US09415513B2
    • 2016-08-16
    • US14473241
    • 2014-08-29
    • General Electric Company
    • Tai-Peng TianCharles Burton TheurerBalajee KannanHuan TanArpit JainGuiju Song
    • G06F19/00B25J9/16B25J5/02
    • B25J9/1666B25J5/007B25J5/02B25J9/1697B25J19/023Y10S901/01Y10S901/09
    • A robot in one embodiment includes a navigation system, a manipulation unit, a visual recognition unit, and a processing unit. The visual recognition unit includes at least one detector configured to acquire presence information of humans within at least a portion of the area. The processing unit is operably coupled to the navigation system, manipulation unit, and visual recognition unit, and is configured to determine a presence of a human within at least one predetermined range of the robot using the presence information from the visual recognition unit, determine at least one control action responsive to determining the presence of the human within the at least one predetermined range, and control at least one of the navigation system or manipulation unit to implement the at least one control action.
    • 一个实施例中的机器人包括导航系统,操纵单元,视觉识别单元和处理单元。 视觉识别单元包括至少一个检测器,其被配置为获取该区域的至少一部分内的人的存在信息。 处理单元可操作地耦合到导航系统,操纵单元和视觉识别单元,并且被配置为使用来自视觉识别单元的存在信息来确定在机器人的至少一个预定范围内的人的存在, 至少一个控制动作响应于在所述至少一个预定范围内确定所述人的存在,以及控制所述导航系统或操纵单元中的至少一个以实现所述至少一个控制动作。
    • 8. 发明申请
    • Methods and Systems for Enhanced Tip-Tracking and Navigation of Visual Inspection Devices
    • 用于增强视觉检查装置的尖端跟踪和导航的方法和系统
    • US20140278211A1
    • 2014-09-18
    • US13827990
    • 2013-03-14
    • GENERAL ELECTRIC COMPANY
    • Guiju SongKevin George HardingThomas James BatzingerVinod Padmanabhan KumarJoseph Vincent PawlowskiKelles Jay Fleming
    • G01N21/88
    • G01N21/954G01N21/8803
    • A computer-implemented system for enhanced tip-tracking and navigation of visual inspection devices includes a visual inspection device. The system further includes a plurality of spatially sensitive fibers. The system includes a computing device. The computing device includes a memory device and a processor. The system includes a storage device. The storage device includes an engineering model representing the physical asset. The computing device is configured receive an insertion location from the visual inspection device. The computing device is configured to receive fiber information associated with the visual inspection device. The computing device is configured to determine the real-time location of the visual inspection device using the fiber information. The computing device is configured to identify the real-time location of the visual inspection device with respect to the engineering model. The computing device is configured to navigate the visual inspection device from a first location to a second location.
    • 用于增强视觉检查装置的尖端跟踪和导航的计算机实现系统包括目视检查装置。 该系统还包括多个空间敏感的纤维。 该系统包括计算设备。 计算设备包括存储器设备和处理器。 该系统包括一个存储设备。 存储设备包括表示物理资产的工程模型。 所述计算装置被配置为从所述视觉检查装置接收插入位置。 计算设备被配置为接收与视觉检查设备相关联的光纤信息。 计算设备被配置为使用光纤信息来确定视觉检查设备的实时位置。 计算设备被配置为识别目视检查设备相对于工程模型的实时位置。 计算设备被配置为将视觉检查设备从第一位置导航到第二位置。
    • 10. 发明授权
    • System and method for component detection
    • 组件检测的系统和方法
    • US09536311B2
    • 2017-01-03
    • US14500352
    • 2014-09-29
    • General Electric Company
    • Guiju SongCharles Burton TheurerTai-Peng TianBalajee KannanArpit Jain
    • G06K9/00G06T7/00
    • G06T7/0044G06K9/00771G06K9/4614G06T7/74G06T2207/30164G06T2207/30236
    • A method and system that include an imaging device configured to capture image data of the vehicle. The vehicle includes one or more components of interest. The method and system include a memory device configured to store an image detection algorithm based on one or more image templates corresponding to the one or more components of interest. The method and system also includes an image processing unit operably coupled to the imaging device in the memory device. The image processing unit is configured to determine one or more shapes of interest of the image data using the image detection algorithm that correspond to the one or more components of interest, and determine one or more locations of the one or more shapes of interest respective to the vehicle.
    • 一种包括被配置为捕获车辆的图像数据的成像装置的方法和系统。 车辆包括一个或多个感兴趣的部件。 该方法和系统包括被配置为存储基于与感兴趣的一个或多个成分相对应的一个或多个图像模板的图像检测算法的存储器件。 该方法和系统还包括可操作地耦合到存储器件中的成像装置的图像处理单元。 图像处理单元被配置为使用对应于感兴趣的一个或多个分量的图像检测算法来确定图像数据的一个或多个感兴趣的形状,并且确定一个或多个感兴趣的形状的一个或多个位置, 机动车。