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. 发明申请
    • VISUAL NAVIGATION SYSTEM AND METHOD BASED ON STRUCTURED LIGHT
    • 基于结构光的视觉导航系统和方法
    • US20090118890A1
    • 2009-05-07
    • US12031716
    • 2008-02-15
    • Yen-Chun LinYao-Jiunn ChenChao-Chi Wu
    • Yen-Chun LinYao-Jiunn ChenChao-Chi Wu
    • G05D1/00
    • G05D1/0246
    • A visual navigation system and method based on structured light are provided. The visual navigation system at least includes at least one projector for generating a specific path pattern formed by structured light, and a visual server. In addition to facilitating the visual navigation system to detect an obstacle, the pattern formed by the structured light provides a specific path pattern followed by robots during the navigation. In the visual navigation method, when detecting the obstacle, the visual server routes a virtual path and issues a movement-control command to the robots, which in turn follow the virtual path. The present invention is capable of raising the accuracy for the robot navigation and reducing operation burden of the visual server by using the structured light to guide the robots.
    • 提供了一种基于结构光的视觉导航系统和方法。 视觉导航系统至少包括至少一个用于生成由结构化光形成的特定路径图案的投影仪和视觉服务器。 除了促进视觉导航系统检测障碍物之外,由结构化光形成的图案还可以在导航期间提供特定的路径图案,随后是机器人。 在视觉导航方法中,当检测障碍物时,可视服务器路由虚拟路径并向机器人发出运动控制命令,机器人依次跟随虚拟路径。 本发明能够通过使用结构化的光引导机器人来提高机器人导航的精度,并降低视觉服务器的操作负担。
    • 2. 发明授权
    • Visual navigation system and method based on structured light
    • 基于结构光的视觉导航系统和方法
    • US08244403B2
    • 2012-08-14
    • US12031716
    • 2008-02-15
    • Yen-Chun LinYao-Jiunn ChenChao-Chi Wu
    • Yen-Chun LinYao-Jiunn ChenChao-Chi Wu
    • G05D5/00B23K9/127
    • G05D1/0246
    • A visual navigation system and method based on structured light are provided. The visual navigation system at least includes at least one projector for generating a specific path pattern formed by structured light, and a visual server. In addition to facilitating the visual navigation system to detect an obstacle, the pattern formed by the structured light provides a specific path pattern followed by robots during the navigation. In the visual navigation method, when detecting the obstacle, the visual server routes a virtual path and issues a movement-control command to the robots, which in turn follow the virtual path. The present invention is capable of raising the accuracy for the robot navigation and reducing operation burden of the visual server by using the structured light to guide the robots.
    • 提供了一种基于结构光的视觉导航系统和方法。 视觉导航系统至少包括至少一个用于生成由结构化光形成的特定路径图案的投影仪和视觉服务器。 除了促进视觉导航系统检测障碍物之外,由结构化光形成的图案还可以在导航期间提供特定的路径图案,随后是机器人。 在视觉导航方法中,当检测障碍物时,可视服务器路由虚拟路径并向机器人发出运动控制命令,机器人依次跟随虚拟路径。 本发明能够通过使用结构化的光引导机器人来提高机器人导航的精度,并降低视觉服务器的操作负担。
    • 6. 发明授权
    • System and method for graphically allocating robot's working space
    • 用于图形分配机器人工作空间的系统和方法
    • US08160746B2
    • 2012-04-17
    • US12031718
    • 2008-02-15
    • Wei-Han WangYa-Hui TsaiYen-Chun Lin
    • Wei-Han WangYa-Hui TsaiYen-Chun Lin
    • G05B19/19
    • B25J9/1671G05B2219/39065G05B2219/40089G05B2219/40095G05B2219/40099G05B2219/40607
    • System and method for graphically allocating robot's working space are provided. The system includes an image extractor, a task-allocating server and a robot. A graphic user interface (GUI) of the task-allocating server includes a robot's working scene area, a space attribute allocating area and a robot's task area. Thus, a user assigns one certain space area in the robot's working scene area with a “wall” attribute, or another space area with a “charging station” attribute. Meanwhile, by using the GUI, the user directly assigns the robot to execute a specific task at a certain area. Hence, the user or remote controller facilitates the robot to provide safer and more effective service through his/her environment recognition.
    • 提供了图形化分配机器人工作空间的系统和方法。 该系统包括图像提取器,任务分配服务器和机器人。 任务分配服务器的图形用户界面(GUI)包括机器人的工作场景区域,空间属性分配区域和机器人的任务区域。 因此,用户在机器人的工作场景区域中分配一个具有“墙”属性的特定空间区域或者具有“充电站”属性的另一个空间区域。 同时,通过使用GUI,用户直接指定机器人在特定区域执行特定任务。 因此,用户或遥控器便于机器人通过他/她的环境识别来提供更安全和更有效的服务。