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:
Jan. 13, 2026

Filed:

Feb. 08, 2022
Applicant:

Volkswagen Group of America Investments, Llc, Reston, VA (US);

Inventors:

Shubhashree Venkatesh, Fremont, CA (US);

Noe Brito, Cupertino, CA (US);

Yee-Ning Cheng, Sunnyvale, CA (US);

Madhav Chhura, Whittier, CA (US);

Sebastian Dovenor, Pittsburgh, PA (US);

John Drake, Cranbury, NJ (US);

Jonathan Pan, Campbell, CA (US);

Jason Parraga, Fremont, CA (US);

Scott Plant, San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/083 (2024.01); B60W 50/00 (2006.01); B60W 60/00 (2020.01); G01C 21/00 (2006.01); G01C 21/36 (2006.01); G06F 16/28 (2019.01); G06Q 10/0631 (2023.01); G08G 1/00 (2006.01); H04L 9/32 (2006.01); H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
G06Q 10/083 (2013.01); B60W 50/0097 (2013.01); B60W 60/0011 (2020.02); B60W 60/00253 (2020.02); B60W 60/00256 (2020.02); G01C 21/36 (2013.01); G01C 21/3841 (2020.08); G01C 21/3856 (2020.08); G01C 21/387 (2020.08); G06F 16/285 (2019.01); G06Q 10/06311 (2013.01); G08G 1/20 (2013.01); H04L 9/3213 (2013.01); H04L 63/0807 (2013.01); H04L 63/0823 (2013.01); H04L 63/101 (2013.01); H04L 63/102 (2013.01); H04L 63/105 (2013.01); H04L 63/107 (2013.01); B60W 2552/00 (2020.02); B60W 2554/00 (2020.02); B60W 2556/40 (2020.02); B60W 2556/45 (2020.02);
Abstract

Methods and systems for obtaining serviceable areas for a robotic system in a metropolitan area are described. A computing device obtains information about places where (i) the system can route to and from in the area and/or (ii) the system can stop in the area. The computing device uses the information to generate clusters of places where the robotic system can route or stop in the metropolitan area. The computing device creates a geometric shape for each cluster, wherein each shape which has a boundary defined by outermost places contained in the cluster. The computing device uses the geometric shapes to define the serviceable areas for the robotic system within the metropolitan area. The computing device uses the serviceable areas to generate a map displaying at least one geographic area representing a portion of the metropolitan area where a concentrated number of the places exist.


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