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US Patent 11971712 Self-aware visual-textual co-grounded navigation agent

Patent 11971712 was granted and assigned to Salesforce on April, 2024 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors

Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Salesforce
Salesforce
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Current Assignee
Salesforce
Salesforce
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119717120
Patent Inventor Names
Caiming Xiong0
Chih-Yao Ma0
Date of Patent
April 30, 2024
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Patent Application Number
173327560
Date Filed
May 27, 2021
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Patent Citations
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US Patent 10474709 Deep reinforced model for abstractive summarization
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US Patent 10521465 Deep reinforced model for abstractive summarization
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US Patent 10606898 Interpreting human-robot instructions
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US Patent 11417082 Image processing system
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US Patent 11341356 System and method for determining object intention through visual attributes
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US Patent 7831433 System and method for using context in navigation dialog
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US Patent 9811074 Optimization of robot control programs in physics-based simulated environment
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US Patent 10282663 Three-dimensional (3D) convolution with 3D batch normalization
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Patent Primary Examiner
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Jaime Figueroa
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CPC Code
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G06V 10/454
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G06V 10/82
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G06V 10/811
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G06V 10/764
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G06N 20/00
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B25J 9/0003
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B25J 9/1697
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G06N 3/02
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Patent abstract

An agent for navigating a mobile automated system is disclosed herein. The navigation agent receives a navigation instruction and visual information for one or more observed images. The navigation agent is provided or equipped with self-awareness, which provides or supports the following abilities: identifying which direction to go or proceed by determining the part of the instruction that corresponds to the observed images (visual grounding), and identifying which part of the instruction has been completed or ongoing and which part is potentially needed for the next action selection (textual grounding). In some embodiments, the navigation agent applies regularization to ensures that the grounded instruction can correctly be used to estimate the progress made towards the navigation goal (progress monitoring).

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