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. 25, 2026

Filed:

Jun. 02, 2023
Applicant:

Inventus Holdings, Llc, Juno Beach, FL (US);

Inventors:

Rachana Vidhi, Palm Beach Gardens, FL (US);

Eric D. Schwartz, Palm Beach Gardens, FL (US);

Prasanna Shrivastava, Palm Beach Gardens, FL (US);

Kyle A. Bush, Palm Beach Gardens, FL (US);

Assignee:

Inventus Holdings, LLC, Juno Beach, FL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B64U 70/93 (2023.01); B64D 1/02 (2006.01); B64U 50/37 (2023.01); B64U 101/40 (2023.01); B64U 101/45 (2023.01); G05D 1/644 (2024.01);
U.S. Cl.
CPC ...
B64U 70/93 (2023.01); B64D 1/02 (2013.01); B64U 50/37 (2023.01); B64U 2101/40 (2023.01); B64U 2101/45 (2023.01); G05D 1/644 (2024.01);
Abstract

An autonomous vehicle control system of an autonomous vehicle system is described. The autonomous vehicle control system is configured to receive problem data characterizing a problem detected in a green energy generation system, wherein the problem data includes location data specifying a location of the problem. The autonomous vehicle control system is further configured to deploy the autonomous vehicle system to the location of the problem, the autonomous vehicle system including a rover and a drone docked with the rover in a docking bay, cause the rover to inspect the problem and determine one or more solutions for resolving the problem. The autonomous vehicle control system is further configured to select a solution from the one or more solutions for resolving the problem, wherein the selected solution has a lowest energy consumption among the one or more solutions and cause the autonomous vehicle system to execute the selected solution.


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