Systems, methods, and apparatus for neuro-robotic tracking point selection

Inactive Publication Date: 2013-07-09
HRL LAB
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0006]Some example articles of manufacture are also described, including machine readable instructions which, when executed, cause a machine to present one or more potential trackable features of a target object, emphasize at least one of the potential trackab

Problems solved by technology

Thus, a particular task requires specialized robotic control methods, and there are no general solutions that may be applied to many different problem situations and robot configurations.
Specialized contro

Method used

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  • Systems, methods, and apparatus for neuro-robotic tracking point selection
  • Systems, methods, and apparatus for neuro-robotic tracking point selection
  • Systems, methods, and apparatus for neuro-robotic tracking point selection

Examples

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Embodiment Construction

[0022]Certain examples are shown in the above-identified figures and described in detail below. In describing these examples, like or identical reference numbers may be used to identify common or similar elements. The figures are not necessarily to scale and certain features and certain views of the figures may be shown exaggerated in scale or in schematic for clarity and / or conciseness. Although the following discloses example systems, methods, and apparatus, it should be noted that such systems, methods, and apparatus are merely illustrative and should not be considered as limiting. The example circuits described herein may be implemented using discrete components, integrated circuits (ICs), hardware that is programmed with instructions, or any combination thereof. Accordingly, while the following describes example systems, methods, and apparatus, persons of ordinary skill in the art will readily appreciate that the examples are not the only way to implement such systems, methods,

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Abstract

Systems, methods, and apparatus for neuro-robotic tracking point selection are disclosed. A described example method to control a robot arm includes presenting one or more potential trackable features of a target object, emphasizing at least one of the potential trackable features, determining a selection of one of the emphasized features as a tracking point by monitoring a first mental response to emphasizing the feature, and effectuating an end goal via a robot by tracking the selected feature and effectuating a position based on the selected feature.

Description

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Claims

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Application Information

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Owner HRL LAB
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