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US Patent 11703857 Map based training and interface for mobile robots

Patent 11703857 was granted and assigned to iRobot on July, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
iRobot
iRobot
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Current Assignee
iRobot
iRobot
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
117038570
Date of Patent
July 18, 2023
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Patent Application Number
170989290
Date Filed
November 16, 2020
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Patent Citations
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US Patent 9939814 Computer system and method for automated mapping by robots
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US Patent 10583561 Robotic virtual boundaries
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US Patent 10835096 Map based training and interface for mobile robots
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US Patent 7693654 Method for mapping spaces with respect to a universal uniform spatial reference
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US Patent 8972052 Celestial navigation system for an autonomous vehicle
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US Patent 9008835 Remote control scheduler and method for autonomous robotic device
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US Patent 9527212 Method for automatically triggering a self-positioning process
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US Patent 9717387 Apparatus and methods for programming and training of robotic household appliances
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Patent Citations Received
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US Patent 11961285 System for spot cleaning by a mobile robot
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Patent Primary Examiner
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David A Testardi
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CPC Code
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G05D 1/0221
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G05D 1/0274
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G05D 2201/0203
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G05D 2201/0215
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A47L 9/2852
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G05D 1/0044
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A47L 11/4011
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A47L 2201/04
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A method of operating an autonomous cleaning robot is described. The method includes initiating a training run of the autonomous cleaning robot and receiving, at a mobile device, location data from the autonomous cleaning robot as the autonomous cleaning robot navigates an area. The method also includes presenting, on a display of the mobile device, a training map depicting portions of the area traversed by the autonomous cleaning robot during the training run and presenting, on the display of the mobile device, an interface configured to allow the training map to be stored or deleted. The method also includes initiating additional training runs to produce additional training maps and presenting a master map generated based on a plurality of stored training maps.

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