会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Multi-agent autonomous system and method
    • 多代理自治系统和方法
    • US07742845B2
    • 2010-06-22
    • US11330077
    • 2006-01-10
    • Wolfgang FinkJames DohmMark A. Tarbell
    • Wolfgang FinkJames DohmMark A. Tarbell
    • G06F19/00G05D1/00
    • G05D1/0246G05D1/0278G05D1/0297G05D2201/0207G05D2201/0209G05D2201/0218
    • A method of controlling a plurality of crafts in an operational area includes providing a command system, a first craft in the operational area coupled to the command system, and a second craft in the operational area coupled to the command system. The method further includes determining a first desired destination and a first trajectory to the first desired destination, sending a first command from the command system to the first craft to move a first distance along the first trajectory, and moving the first craft according to the first command. A second desired destination and a second trajectory to the second desired destination are determined and a second command is sent from the command system to the second craft to move a second distance along the second trajectory.
    • 一种在操作区域中控制多个飞行物的方法包括提供命令系统,在与命令系统耦合的操作区域中的第一飞行器,以及耦合到命令系统的操作区域中的第二飞行器。 该方法还包括将第一期望目的地和第一轨迹确定到第一期望目的地,从命令系统向第一飞行器发送第一命令以沿着第一轨迹移动第一距离,以及根据第一航迹移动第一飞行器 命令。 确定第二期望目的地和到第二期望目的地的第二轨迹,并且从命令系统向第二飞行器发送第二命令以沿着第二轨迹移动第二距离。
    • 3. 发明授权
    • Multi-agent autonomous system
    • 多代理自治系统
    • US07734063B2
    • 2010-06-08
    • US11261549
    • 2005-10-28
    • Wolfgang FinkJames DohmMark A. Tarbell
    • Wolfgang FinkJames DohmMark A. Tarbell
    • G06K9/00H04N7/18
    • G05D1/0297G05D1/0038G05D2201/0207G05D2201/0209G05D2201/0218
    • A multi-agent autonomous system for exploration of hazardous or inaccessible locations. The multi-agent autonomous system includes simple surface-based agents or craft controlled by an airborne tracking and command system. The airborne tracking and command system includes an instrument suite used to image an operational area and any craft deployed within the operational area. The image data is used to identify the craft, targets for exploration, and obstacles in the operational area. The tracking and command system determines paths for the surface-based craft using the identified targets and obstacles and commands the craft using simple movement commands to move through the operational area to the targets while avoiding the obstacles. Each craft includes its own instrument suite to collect information about the operational area that is transmitted back to the tracking and command system. The tracking and command system may be further coupled to a satellite system to provide additional image information about the operational area and provide operational and location commands to the tracking and command system.
    • 用于勘探危险或无法进入的地点的多代理自治系统。 多代理自主系统包括简单的基于表面的代理或由机载跟踪和命令系统控制的工艺。 机载跟踪和指挥系统包括一个仪器套件,用于对操作区域进行成像和在操作区域内部署的任何工艺。 图像数据用于识别手术,探索目标和操作区域中的障碍物。 跟踪和命令系统使用识别的目标和障碍物来确定基于地面的飞行器的路径,并且使用简单的移动命令来命令飞行器在避开障碍物的同时将操作区域移动到目标位置。 每个工艺包括自己的仪器套件,用于收集有关操作区域的信息,并将其传送回跟踪和指挥系统。 跟踪和命令系统可以进一步耦合到卫星系统以提供关于操作区域的附加图像信息,并向跟踪和命令系统提供操作和位置命令。
    • 5. 发明申请
    • METHOD AND SYSTEM FOR TRAINING A VISUAL PROSTHESIS
    • 用于培训视觉展现的方法和系统
    • US20080154338A1
    • 2008-06-26
    • US12016539
    • 2008-01-18
    • Wolfgang FinkMark A. Tarbell
    • Wolfgang FinkMark A. Tarbell
    • A61N1/36
    • A61N1/36046A61F9/08A61N1/08
    • A method for training a visual prosthesis includes presenting a non-visual reference stimulus corresponding to a reference image to a visual prosthesis patient. The visual prosthesis including a plurality of electrodes. Training data sets are generated by presenting a series of stimulation patterns to the patient through the visual prosthesis. Each stimulation pattern in the series, after the first, is determined at least in part on a previous subjective patient selection of a preferred stimulation pattern among stimulation patterns previously presented in the series and a fitness function optimization algorithm. The presented stimulation patterns and the selections of the patient are stored and presented to a neural network off-line to determine a vision solution.
    • 用于训练视觉假体的方法包括将对应于参考图像的非视觉参考刺激呈现给视觉假体患者。 视觉假体包括多个电极。 训练数据集是通过将视觉假体呈现给患者的一系列刺激模式而产生的。 系列中的每个刺激模式在第一次之后至少部分地基于先前在该系列中呈现的刺激模式中的优选刺激模式的先前主观患者选择和适应度函数优化算法来确定。 呈现的刺激模式和患者的选择被存储并离线地呈现给神经网络以确定视觉解决方案。