公开(公告)号：US20110004341A1

公开(公告)日：2011-01-06

申请号：US12819032

申请日：2010-06-18

申请人： Ravi Kiran Sarvadevabhatla ,  Victor Ng-Thow-Hing

发明人： Ravi Kiran Sarvadevabhatla ,  Victor Ng-Thow-Hing

IPC分类号： G06K9/46 ,  G10L15/00 ,  G06F19/00 ,  G05B19/00

CPC分类号： B25J9/1602 ,  G05B2219/39387 ,  G05B2219/40004 ,  G05B2219/40536

摘要： A robot using less storage and computational resources to embody panoramic attention. The robot includes a panoramic attention module with multiple levels that are hierarchically structured to process different levels of information. The top-level of the panoramic attention module receives information about entities detected from the environment of the robot and maps the entities to a panoramic map maintained by the robot. By mapping and storing high-level entity information instead of low-level sensory information in the panoramic map, the amount of storage and computation resources for panoramic attention can be reduced significantly. Further, the mapping and storing of high-level entity information in the panoramic map also facilitates consistent and logical processing of different conceptual levels of information.

摘要翻译： 一个使用较少存储和计算资源来体现全景关注的机器人。 机器人包括具有分级结构以处理不同级别的信息的多个级别的全景注意模块。 全景关注模块的顶层接收关于从机器人环境检测到的实体的信息，并将实体映射到由机器人维护的全景图。 通过在全景图中映射和存储高级实体信息而不是低级感官信息，可以显着降低全景注意的存储量和计算资源。 此外，全景地图中的高级实体信息的映射和存储还有助于不同概念级信息的一致和逻辑处理。

公开(公告)号：US08406925B2

公开(公告)日：2013-03-26

申请号：US12819032

申请日：2010-06-18

申请人： Ravi Kiran Sarvadevabhatla ,  Victor Ng-Thow-Hing

发明人： Ravi Kiran Sarvadevabhatla ,  Victor Ng-Thow-Hing

IPC分类号： G05B15/00

CPC分类号： B25J9/1602 ,  G05B2219/39387 ,  G05B2219/40004 ,  G05B2219/40536

摘要： A robot using less storage and computational resources to embody panoramic attention. The robot includes a panoramic attention module with multiple levels that are hierarchically structured to process different levels of information. The top-level of the panoramic attention module receives information about entities detected from the environment of the robot and maps the entities to a panoramic map maintained by the robot. By mapping and storing high-level entity information instead of low-level sensory information in the panoramic map, the amount of storage and computation resources for panoramic attention can be reduced significantly. Further, the mapping and storing of high-level entity information in the panoramic map also facilitates consistent and logical processing of different conceptual levels of information.

摘要翻译： 一个使用较少存储和计算资源来体现全景关注的机器人。 机器人包括具有分级结构以处理不同级别的信息的多个级别的全景注意模块。 全景关注模块的顶层接收关于从机器人环境检测到的实体的信息，并将实体映射到由机器人维护的全景图。 通过在全景图中映射和存储高级实体信息而不是低级感官信息，可以显着降低全景注意的存储量和计算资源量。 此外，全景地图中的高级实体信息的映射和存储还有助于不同概念级信息的一致和逻辑处理。