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:
Apr. 18, 2017

Filed:

Mar. 19, 2015
Applicants:

Neurala, Inc., Boston, MA (US);

Trustees of Boston University, Boston, MA (US);

Inventors:

Massimiliano Versace, Boston, MA (US);

Anatoly Gorshechnikov, Newton, MA (US);

Gennady Livitz, Belmont, MA (US);

Jesse Palma, Somerville, MA (US);

Assignee:

Neurala, Inc., Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); B25J 9/16 (2006.01); G06T 7/00 (2017.01); G06K 9/32 (2006.01); G06K 9/46 (2006.01); G06T 7/20 (2017.01); G06N 3/00 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00664 (2013.01); B25J 9/1697 (2013.01); G06K 9/3241 (2013.01); G06K 9/4628 (2013.01); G06T 7/004 (2013.01); G06T 7/0044 (2013.01); G06T 7/0081 (2013.01); G06T 7/2093 (2013.01); G05B 2219/39082 (2013.01); G06N 3/008 (2013.01); G06N 3/049 (2013.01); G06T 2207/20141 (2013.01); G06T 2207/20144 (2013.01); G06T 2207/30244 (2013.01);
Abstract

Sensory processing of visual, auditory, and other sensor information (e.g., visual imagery, LIDAR, RADAR) is conventionally based on 'stovepiped,' or isolated processing, with little interactions between modules. Biological systems, on the other hand, fuse multi-sensory information to identify nearby objects of interest more quickly, more efficiently, and with higher signal-to-noise ratios. Similarly, examples of the OpenSense technology disclosed herein use neurally inspired processing to identify and locate objects in a robot's environment. This enables the robot to navigate its environment more quickly and with lower computational and power requirements.


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