The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 13, 2020

Filed:

Jan. 23, 2018
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Huan Tan, Clifton Park, NY (US);

Ghulam Ali Baloch, Albany, NY (US);

Yang Zhao, Schenectady, NY (US);

Mauricio Castillo-Effen, Rexford, NY (US);

Assignee:

GENERAL ELECTRIC COMPANY, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 19/04 (2006.01); G05B 19/18 (2006.01); B25J 9/16 (2006.01); G10L 15/22 (2006.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); B25J 19/02 (2006.01); B25J 13/00 (2006.01); G06F 3/16 (2006.01); G10L 15/19 (2013.01);
U.S. Cl.
CPC ...
B25J 9/1669 (2013.01); B25J 13/00 (2013.01); B25J 19/021 (2013.01); B25J 19/026 (2013.01); G06F 3/167 (2013.01); G06K 9/00342 (2013.01); G06K 9/00355 (2013.01); G06K 9/6262 (2013.01); G06K 9/6277 (2013.01); G10L 15/22 (2013.01); G10L 15/19 (2013.01); G10L 2015/223 (2013.01); Y10S 901/01 (2013.01); Y10S 901/44 (2013.01);
Abstract

The example embodiments are directed to a system and method for controlling and commanding an unmanned robot using natural interfaces. In one example, the method includes receiving a plurality of sensory inputs from a user via one or more natural interfaces, wherein each sensory input is associated with an intention of the user for an unmanned robot to perform a task, processing each of the plurality of sensory inputs using a plurality of channels of processing to produce a first recognition result and a second recognition result, combining the first recognition result and the second recognition result to determine a recognized command, and generating a task plan assignable to the unmanned robot based on the recognized command and predefined control primitives.


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