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:
Aug. 30, 2022

Filed:

Mar. 27, 2020
Applicant:

X Development Llc, Mountain View, CA (US);

Inventors:

David Millard, San Francisco, CA (US);

Mikael Persson, Sunnyvale, CA (US);

Assignee:

X Development LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2006.01); G01C 21/20 (2006.01); G05D 1/02 (2020.01); G01C 21/34 (2006.01); B25J 9/00 (2006.01); B25J 9/16 (2006.01); G06V 20/10 (2022.01);
U.S. Cl.
CPC ...
G05D 1/0088 (2013.01); B25J 9/0003 (2013.01); B25J 9/1666 (2013.01); G01C 21/20 (2013.01); G05D 1/024 (2013.01); G05D 1/0214 (2013.01); G05D 1/0217 (2013.01); G05D 1/0221 (2013.01); G05D 1/0246 (2013.01); G05D 1/0274 (2013.01); G06V 20/10 (2022.01); G01C 21/3453 (2013.01); G05D 1/0223 (2013.01); Y10S 901/01 (2013.01); Y10S 901/47 (2013.01);
Abstract

Systems, methods, devices, and techniques for planning travel of an autonomous robot. A system identifies one or more obstacles that are located in proximity of at least a portion of a planned route for the autonomous robot. For each obstacle, the system: (i) determines a semantic class of the obstacle, including selecting the semantic class from a library that defines a set of multiple possible semantic classes for obstacles, and (ii) selects a planning policy for the obstacle that corresponds to the semantic class of the obstacle. The system can generate a trajectory along the at least the portion of the planned route using the selected planning policies. The robot can then initiate travel according to the trajectory.


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