发明授权
- 专利标题: Hierarchical spatial representation for multimodal sensory data
- 专利标题(中): 多模态感觉数据的分层空间表示
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申请号: US13585356申请日: 2012-08-14
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公开(公告)号: US08693729B1公开(公告)日: 2014-04-08
- 发明人: Paul Alex Dow , Deepak Khosla , David J Huber
- 申请人: Paul Alex Dow , Deepak Khosla , David J Huber
- 申请人地址: US CA Malibu
- 专利权人: HRL Laboratories, LLC
- 当前专利权人: HRL Laboratories, LLC
- 当前专利权人地址: US CA Malibu
- 代理商 Daniel R. Allemeier; George R. Rapacki
- 主分类号: G06T7/00
- IPC分类号: G06T7/00 ; B25J9/16
摘要:
The present invention creates and stores target representations in several coordinate representations based on biologically inspired models of the human vision system. By using biologically inspired target representations a computer can be programmed for robot control without using kinematics to relate a target position in camera eyes to a target position in body or head coordinates. The robot sensors and appendages are open loop controlled to focus on the target. In addition, the invention herein teaches a scenario and method to learn the mappings between coordinate representations using existing machine learning techniques such as Locally Weighted Projection Regression.
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