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US Patent 11969893 Automated personalized feedback for interactive learning applications

Patent 11969893 was granted and assigned to Southie Autonomy Works on April, 2024 by the United States Patent and Trademark Office.

Overview Structured Data Issues Contributors Activity

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Patent attributes

Patent Applicant

Southie Autonomy Works

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Current Assignee

Southie Autonomy Works

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Patent Jurisdiction

United States Patent and Trademark Office

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Patent Number

Patent Inventor Names

Jay Ming Wong0

Rahul D. Chipalkatty0

Raphael Segal0

Date of Patent

April 30, 2024

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Patent Application Number

170903150

Date Filed

November 5, 2020

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Patent Citations

US Patent 10514768 Gestures and touch in operator interface

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US Patent 8918208 Projection of interactive map data

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US Patent 10656720 Mode switching for integrated gestural interaction and multi-user collaboration in immersive virtual reality environments

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Patent Primary Examiner

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CPC Code

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G05B 2219/35444

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G05B 2219/40414

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Patent abstract

A robot-training system permits a user touch, click on or otherwise select items from a display projected in the actual workspace in order to define task goals and constraints for the robot. A planning procedure responds to task definitions and constraints, and creates a sequence of robot instructions implementing the defined tasks.

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