Invention Grant
- Patent Title: Hierarchical spatial representation for multimodal sensory data
- Patent Title (中): 多模态感觉数据的分层空间表示
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Application No.: US13585356Application Date: 2012-08-14
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Publication No.: US08693729B1Publication Date: 2014-04-08
- Inventor: Paul Alex Dow , Deepak Khosla , David J Huber
- Applicant: Paul Alex Dow , Deepak Khosla , David J Huber
- Applicant Address: US CA Malibu
- Assignee: HRL Laboratories, LLC
- Current Assignee: HRL Laboratories, LLC
- Current Assignee Address: US CA Malibu
- Agent Daniel R. Allemeier; George R. Rapacki
- Main IPC: G06T7/00
- IPC: G06T7/00 ; B25J9/16

Abstract:
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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