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:
Jun. 29, 2021

Filed:

Mar. 14, 2017
Applicant:

Autonomous Solutions, Inc., Petersboro, UT (US);

Inventor:

Thomas M. Petroff, Gibsonia, PA (US);

Assignee:

Autonomous Solutions, Inc., Petersboro, UT (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01C 21/34 (2006.01); G05D 1/02 (2020.01); G06Q 10/06 (2012.01); G08G 1/00 (2006.01); G05D 1/00 (2006.01); G06Q 50/28 (2012.01); G06N 20/00 (2019.01); G06Q 10/02 (2012.01); G06Q 50/30 (2012.01); G06Q 10/04 (2012.01);
U.S. Cl.
CPC ...
G06Q 50/28 (2013.01); G01C 21/343 (2013.01); G01C 21/3492 (2013.01); G05D 1/0088 (2013.01); G05D 1/0221 (2013.01); G05D 1/0291 (2013.01); G06N 20/00 (2019.01); G06Q 10/02 (2013.01); G06Q 10/04 (2013.01); G06Q 10/06312 (2013.01); G06Q 50/30 (2013.01); G08G 1/00 (2013.01); G08G 1/202 (2013.01); G08G 1/22 (2013.01); G05D 2201/0212 (2013.01); G06Q 2240/00 (2013.01);
Abstract

A method for dispatching a plurality of vehicles operating in a work area among a plurality of destination locations and a plurality of source locations includes implementing linear programming that takes in an optimization function and constraints to generate an optimum schedule for optimum production, utilizing a reinforcement learning algorithm that takes in the schedule as input and cycles through possible environmental states that could occur within the schedule by choosing one possible action for each possible environmental state and by observing the reward obtained by taking the action at each possible environmental state, developing a policy for each possible environmental state, and providing instructions to follow an action associated with the policy.


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