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:
Jul. 25, 2017

Filed:

Aug. 11, 2015
Applicants:

David M. Hill, Bellevue, WA (US);

Jeffrey J. Evertt, Kirkland, WA (US);

Alan M. Jones, Duvall, WA (US);

Richard C. Roesler, Sammamish, WA (US);

Andrew William Jean, Seattle, WA (US);

Emiko V. Charbonneau, Kirkland, WA (US);

Inventors:

David M. Hill, Bellevue, WA (US);

Jeffrey J. Evertt, Kirkland, WA (US);

Alan M. Jones, Duvall, WA (US);

Richard C. Roesler, Sammamish, WA (US);

Andrew William Jean, Seattle, WA (US);

Emiko V. Charbonneau, Kirkland, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B25J 13/00 (2006.01); B25J 9/16 (2006.01); G02B 27/01 (2006.01); G06F 3/0346 (2013.01); G06K 9/52 (2006.01); G06T 7/60 (2017.01); G06T 19/00 (2011.01); G09G 5/00 (2006.01); G06F 3/01 (2006.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
B25J 13/00 (2013.01); B25J 9/163 (2013.01); B25J 9/1664 (2013.01); B25J 9/1676 (2013.01); B25J 9/1694 (2013.01); B25J 13/006 (2013.01); G02B 27/0172 (2013.01); G06F 3/011 (2013.01); G06F 3/0346 (2013.01); G06K 9/52 (2013.01); G06T 7/60 (2013.01); G06T 7/73 (2017.01); G06T 19/006 (2013.01); G09G 5/003 (2013.01); G02B 2027/014 (2013.01); G02B 2027/0138 (2013.01); Y10S 901/02 (2013.01); Y10S 901/06 (2013.01);
Abstract

Concepts and technologies are described herein for providing enhanced configuration and control of robots. Configurations disclosed herein augment a mobile computing device, such as a robot, with resources for understanding and navigation of an environment surrounding the computing device. The resources can include sensors of a separate computing device, which may be in the form of a head-mounted display. Data produced by the resources can be used to generate instructions for the mobile computing device. The sensors of the separate computing device can also detect a change in an environment or a conflict in the actions of the mobile computing device, and dynamically modify the generated instructions. By the use of the techniques disclosed herein, a simple, low-cost robot can understand and navigate through a complex environment and appropriately interact with obstacles and other objects.


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