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. 18, 2023

Filed:

Jan. 25, 2021
Applicant:

Brain Corporation, San Diego, CA (US);

Inventors:

Oleg Sinyavskiy, San Diego, CA (US);

Jean-Baptiste Passot, Solana Beach, CA (US);

Borja Ibarz Gabardos, London, GB;

Diana Vu Le, San Diego, CA (US);

Assignee:

Brain Corporation, San Diego, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2006.01); B25J 9/16 (2006.01); B25J 11/00 (2006.01); G05D 1/02 (2020.01); A47L 11/283 (2006.01); A47L 11/40 (2006.01); G01C 21/34 (2006.01); G01C 21/00 (2006.01);
U.S. Cl.
CPC ...
B25J 9/1666 (2013.01); A47L 11/283 (2013.01); A47L 11/4008 (2013.01); A47L 11/4011 (2013.01); A47L 11/4061 (2013.01); A47L 11/4066 (2013.01); B25J 11/0085 (2013.01); G01C 21/3407 (2013.01); G01C 21/3804 (2020.08); G05D 1/0214 (2013.01); G05D 1/0217 (2013.01); G05D 1/0274 (2013.01); G05D 2201/0203 (2013.01);
Abstract

Systems and methods for robotic path planning are disclosed. In some implementations of the present disclosure, a robot can generate a cost map associated with an environment of the robot. The cost map can comprise a plurality of pixels each corresponding to a location in the environment, where each pixel can have an associated cost. The robot can further generate a plurality of masks having projected path portions for the travel of the robot within the environment, where each mask comprises a plurality of mask pixels that correspond to locations in the environment. The robot can then determine a mask cost associated with each mask based at least in part on the cost map and select a mask based at least in part on the mask cost. Based on the projected path portions within the selected mask, the robot can navigate a space.


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