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    • 2. 发明授权
    • Robot modeling and positioning
    • 机器人建模和定位
    • US09452533B2
    • 2016-09-27
    • US13895339
    • 2013-05-15
    • New River Kinematics, Inc.
    • Joseph M. CalkinsRobert J. Salerno
    • B25J9/16
    • B25J9/1692G05B2219/39019G05B2219/39031
    • In an example embodiment, a robot positioning device includes a first interface configured to communicate with a robot and a second interface configured to communicate with a location measuring system. The robot positioning device includes a calibrator, a modeler, and an instructor. The calibrator is configured to direct the location measuring system to determine robot calibration locations when robot joints are positioned in calibration joint positions. The modeler is configured to create a calibrated model relating robot joint positions to robot locations based at least in part on the robot calibration locations received from the location measuring system and associated calibration joint positions of the robot joints. The instructor is configured to receive a goal location from the robot. The instructor is further configured to transmit goal joint positions to the robot, the goal joint positions based at least in part on the goal location and the calibrated model.
    • 在示例性实施例中,机器人定位设备包括被配置为与机器人通信的第一接口和被配置为与位置测量系统通信的第二接口。 机器人定位装置包括校准器,建模器和教练。 校准器被配置为引导位置测量系统以在机器人关节定位在校准关节位置时确定机器人校准位置。 建模器被配置成至少部分地基于从位置测量系统接收的机器人校准位置和机器人关节的相关联的校准关节位置来创建将机器人关节位置与机器人位置相关联的校准模型。 教练被配置为从机器人接收目标位置。 导师进一步被配置成至少部分地基于目标位置和校准模型将目标关节位置发送到机器人,目标关节位置。
    • 5. 发明授权
    • Method and apparatus for calibration of a robot positioned on a movable platform
    • 用于校准位于可移动平台上的机器人的方法和装置
    • US08868236B2
    • 2014-10-21
    • US13736407
    • 2013-01-08
    • ABB Research Ltd
    • Torgny Brogårdh
    • G01C9/00G01C17/00G01C19/00G05B19/18G05B19/04B25J9/16
    • B25J9/1692B25J9/162G05B2219/37205G05B2219/39013G05B2219/39014G05B2219/39031G05B2219/40298Y10S901/01Y10S901/15
    • A method and apparatus for calibration of a robot on a platform and a robot, in relation to an object using a measuring unit mounted on the robot including placing CAD models so that the robot reaches the object, manipulating the CAD models to move the measuring unit to a pose in relation to the platform allowing measurement of a feature on the object, storing the pose, and generating a CAD model of the feature. The real robot is moved to the pose, the real platform is moved where measurements of the feature can be made, 3D measurements of the feature are performed and based thereon generating a second CAD model, performing a best fit between the CAD models, and calculating a 6 degrees of freedom pose difference between the CAD models, and instructing the mobile platform to move to compensate for the pose difference.
    • 一种用于在平台和机器人上校准机器人的方法和装置,所述方法和装置相对于使用安装在所述机器人上的测量单元的物体进行校准,包括放置CAD模型以使所述机器人到达所述物体,操纵所述CAD模型以移动所述测量单元 涉及与平台相关的姿势,允许测量对象上的特征,存储姿态,以及生成特征的CAD模型。 将真实的机器人移动到姿势,在可以进行特征测量的位置移动真实的平台,执行特征的3D测量,并且基于此产生第二CAD模型,在CAD模型之间执行最佳拟合,并计算 6自由度在CAD模型之间构成差异,并指示移动平台移动以补偿姿态差异。
    • 6. 发明授权
    • Neuron device for simulating a nerve cell and neural network device, integer cluster device, feedback control device, and computer program product thereof
    • 用于模拟神经细胞的神经元装置和神经网络装置,整数集群装置,反馈控制装置及其计算机程序产品
    • US08620844B2
    • 2013-12-31
    • US12680678
    • 2008-09-30
    • Shingo ShimodaHidenori KimuraMasaaki YamaokaHideki Kajima
    • Shingo ShimodaHidenori KimuraMasaaki YamaokaHideki Kajima
    • G05B13/02
    • G06N3/063G05B2219/39031G06N3/04
    • Using variable neuron thresholds and extended Hebb's rule in a neural network, a neuron device for simulating a nerve cell includes a threshold storage unit storing a threshold variable θ and threshold coefficients Δθ1 and Δθ2; an input reception unit receiving one or more input signal values at predetermined time intervals; an output unit outputting an output signal value “1” indicating that the neuron device is firing when the sum total s of received input signal values is equal to or greater than the value of the stored threshold variable θ, or a value “0” indicating that the neuron device is resting; and a threshold updating unit calculating Δθ1X+Δθ2(X−1) using the output signal value X and the stored threshold coefficients Δθ1 and Δθ2 and updating the value of the threshold variable θ stored in the threshold storage unit by increasing it by the calculation result.
    • 在神经网络中使用可变神经元阈值和扩展Hebb规则,用于模拟神经细胞的神经元装置包括存储阈值变量θ和阈值系数Deltatheta1和Deltatheta2的阈值存储单元; 输入接收单元,以预定的时间间隔接收一个或多个输入信号值; 当所接收的输入信号值的总和为等于或大于所存储的阈值变量theta的值时,输出表示神经元装置正在点火的输出信号值“1”的输出单元,或表示 神经元器件休息; 以及阈值更新单元,使用输出信号值X和存储的阈值系数Deltatheta1和Deltatheta2来计算Deltatheta1X + Deltatheta2(X-1),并且通过将计算结果增加来更新存储在阈值存储单元中的阈值变量theta的值 。
    • 9. 发明申请
    • ROBOT POSITIONING
    • 机器人定位
    • US20140343727A1
    • 2014-11-20
    • US13895339
    • 2013-05-15
    • New River Kinematics, Inc.
    • Joseph M. CalkinsRobert J. Salerno
    • G05B19/418
    • B25J9/1692G05B2219/39019G05B2219/39031
    • In an example embodiment, a robot positioning device includes a first interface configured to communicate with a robot and a second interface configured to communicate with a location measuring system. The robot positioning device includes a calibrator, a modeler, and an instructor. The calibrator is configured to direct the location measuring system to determine robot calibration locations when robot joints are positioned in calibration joint positions. The modeler is configured to create a calibrated model relating robot joint positions to robot locations based at least in part on the robot calibration locations received from the location measuring system and associated calibration joint positions of the robot joints. The instructor is configured to receive a goal location from the robot. The instructor is further configured to transmit goal joint positions to the robot, the goal joint positions based at least in part on the goal location and the calibrated model.
    • 在示例性实施例中,机器人定位设备包括被配置为与机器人通信的第一接口和被配置为与位置测量系统通信的第二接口。 机器人定位装置包括校准器,建模器和教练。 校准器被配置为引导位置测量系统以在机器人关节定位在校准关节位置时确定机器人校准位置。 建模器被配置成至少部分地基于从位置测量系统接收的机器人校准位置和机器人关节的相关联的校准关节位置来创建将机器人关节位置与机器人位置相关联的校准模型。 教练被配置为从机器人接收目标位置。 导师进一步被配置成至少部分地基于目标位置和校准模型将目标关节位置发送到机器人,目标关节位置。
    • 10. 发明授权
    • Apparatus simulating operations between a robot and workpiece models
    • 模拟机器人与工件模型之间的操作的装置
    • US07881917B2
    • 2011-02-01
    • US11806344
    • 2007-05-31
    • Yoshiharu NagatsukaKozo Inoue
    • Yoshiharu NagatsukaKozo Inoue
    • G06G7/48
    • B25J9/1671G05B19/4069G05B2219/32351G05B2219/39031G05B2219/40003G05B2219/40121G05B2219/40122G05B2219/40127G05B2219/40131G05B2219/40314Y02P90/26Y02P90/265
    • A robot simulation apparatus (10) capable of creating and executing a robot program includes a virtual space creating unit (31) for creating a virtual space (60), a workpiece model layout unit (32) for automatically arranging at least one workpiece model (40) in an appropriate posture at an appropriate position in a workpiece accommodation unit model (24) defined in the virtual space, a virtual camera unit (33) for acquiring a virtual image (52) of workpiece models existing in the range of a designated visual field as viewed from a designated place in the virtual space, a correcting unit (34) for correcting the teaching points in the robot program based on the virtual image, and a simulation unit (35) for simulating the operation of the robot handling the workpieces, and as a result, interference between the robot and the workpieces can be predicted while at the same time accurately determining the required workpiece handling time.
    • 能够创建和执行机器人程序的机器人模拟装置(10)包括用于创建虚拟空间(60)的虚拟空间创建单元(31),用于自动布置至少一个工件模型的工件模型布局单元(32) 40),其位于在虚拟空间中定义的工件容纳单元模型(24)中的适当位置处的适当姿态;虚拟相机单元(33),用于获取存在于指定范围内的工件模型的虚拟图像(52) 从虚拟空间中的指定位置观看的视野,用于基于虚拟图像校正机器人程序中的教导点的校正单元(34),以及用于模拟机器人处理的机器人的操作的模拟单元(35) 工件,结果,可以预测机器人与工件之间的干涉,同时精确地确定所需的工件处理时间。