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. 17, 2023

Filed:

Dec. 18, 2020
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Sai Hemachandra Vemprala, Bellevue, WA (US);

Sami Tariq Mian, Pittsburgh, PA (US);

Ashish Kapoor, Kirkland, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/10 (2006.01); G06V 10/40 (2022.01); G06V 20/56 (2022.01); G06N 3/08 (2023.01); G08G 5/00 (2006.01); G08G 5/04 (2006.01); H04N 7/18 (2006.01);
U.S. Cl.
CPC ...
G05D 1/106 (2019.05); G06N 3/08 (2013.01); G06V 10/40 (2022.01); G06V 20/56 (2022.01); G08G 5/0021 (2013.01); G08G 5/0069 (2013.01); G08G 5/045 (2013.01); H04N 7/183 (2013.01);
Abstract

A computer implemented method for controlling a system moving through an environment includes receiving a stream of event data from an event camera, the stream of event data representing a pixel location, a time stamp, and a polarity for each event detected by the event camera. A compressed representation of the stream of data is generated. The compressed representation is provided to a neural network model trained on prior compressed representations using reinforcement learning to learn actions for controlling the system. A control action is generated via the neural network model to control the movement of the system.


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