IP Library Granted Patent US 11,699,189
Granted Patent B1
US 11,699,189 · App. 16/852,890 · Granted Jul 11, 2023

Purchasing and monetizing of mobile autonomous units

Inventors: Jennifer L. Copeland (San Francisco, CA); Suzanne M. Fisi (Clayton, CA); Simone O. Harvey (Berkeley, CA); David C. Hatch (Pacifica, CA); Muhammad Farukh Munir (Pittsburg, CA); Aaron Francis Colfax Petrik (Alameda, CA); Darrell L. Suen (San Ramon, CA); Timothy R. Ward (Mesa, AZ); Steven J. Wirt (Oakland, CA); Ryan J. Wyler (Gilbert, AZ); Nancy B. Zimmerman (Fairfax, CA); Chris Kalaboukis (San Jose, CA)
Assignee: Wells Fargo Bank, N.A.
G06Q40/06B60P3/32G06Q30/0641
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Quick Facts
Patent No.
US 11,699,189
App. No.
16/852,890
Granted
Jul 11, 2023
Kind
B1
Abstract

Purchasing, maintaining, and deriving revenue from mobile autonomous units is facilitated by providing a mobile autonomous unit marketplace in which equity shares in mobile autonomous units can be bought, sold and traded. Valuation of mobile autonomous units within the marketplace can be a function of a variety of factors such as the mobile autonomous unit’s primary geographic region, and the number, diversity, and time management of revenue streams available to the mobile autonomous units.

Claims (50)

1 . A system, comprising:

a mobile autonomous unit including an enclosure configured as a living space and as a tenancy space;

at least one readable and writable data storage device storing data related to a plurality of pre-defined geographical areas and the mobile autonomous unit;

at least one processor; and

memory encoding instructions that, when executed by the at least one processor, causes the at least one processor to:

identify a plurality of revenue streams for the mobile autonomous unit, the plurality of revenue streams including at least two of:

i) a lodging in the mobile autonomous unit;

ii) a riding in the mobile autonomous unit to a destination;

iii) a using of the mobile autonomous unit as a workspace; and

iv) a using of the mobile autonomous unit as a social space; and

activate the at least two revenue streams by causing the mobile autonomous unit to move between at least two locations.

2 . The system of claim 1 , wherein the instructions, when executed by the at least one processor, cause the at least one processor to:

value the mobile autonomous unit based on the identified revenue streams and a predicted home region of the mobile autonomous unit, the home region being a first of the pre-defined geographical areas in which the mobile autonomous unit spends more time than in any of the other pre-defined geographical areas.

3 . The system of claim 1 , wherein the mobile autonomous unit comprises an electricity generating device.

4 . The system of claim 3 , wherein the electricity generating device comprises at least one solar panel.

5 . The system of claim 2 , wherein the mobile autonomous unit generates revenue from at least one non-tenant revenue source, and wherein the value includes accounting for a predicted future revenue from the at least one non-tenant revenue source.

6 . The system of claim 5 , wherein the at least one non-tenant revenue source includes at least one of: selling energy generated by the mobile autonomous unit; selling space on the mobile autonomous unit for advertising; and selling space on the mobile autonomous unit for accommodating a non-human physical object.

7 . The system of claim 5 , wherein the instructions, when executed by the at least one processor, cause the at least one processor to cause at least the mobile autonomous unit to maximize a future revenue generated by the mobile autonomous unit.

8 . The system of claim 1 , wherein the instructions, when executed by the at least one processor, cause the at least one processor to cause the mobile autonomous unit to move to a location where the mobile autonomous unit is cleaned.

9 . The system of claim 1 ,

wherein the mobile autonomous unit is owned by a proprietor; and

wherein the predicted home region is determined based on historical location information of the proprietor that is stored on the at least one database.

10 . The system of claim 3 , wherein the mobile autonomous unit includes a device configured to transfer energy generated by the electricity generating device off of the mobile autonomous unit.

11 . A computer implemented method, comprising:

identifying a plurality of revenue streams for a mobile autonomous unit, the mobile autonomous unit including an enclosure configured as a living space and as a tenancy space, the plurality of revenue streams including at least two of:

i) a lodging in the mobile autonomous unit;

ii) a riding in the mobile autonomous unit to a destination;

iii) a using of the mobile autonomous unit as a workspace; and

iv) a using of the mobile autonomous unit as a social space; and

activating the at least two revenue streams by causing the mobile autonomous unit to move between at least two locations.

12 . The computer implemented method of claim 11 , further comprising valuing the mobile autonomous unit based on the identified revenue streams and a predicted home region of the mobile autonomous unit, the predicted home region being a first of a plurality of pre-defined geographical areas in which the mobile autonomous unit spends more time than in any of the other pre-defined geographical areas.

13 . The computer implemented method of claim 11 , further comprising generating electricity using a solar panel of the mobile autonomous unit.

14 . The computer implemented method of claim 11 , further comprising: providing advertising on the mobile autonomous unit.

15 . The computer implemented method of claim 12 , further comprising:

generating revenue from at least one non-tenant revenue source,

wherein the valuing further comprises accounting for a predicted future revenue from the at least one non-tenant revenue source.

16 . The computer implemented method of claim 15 , wherein the at least one non-tenant revenue source includes one or more of: selling energy generated by the mobile autonomous unit; selling space on the mobile autonomous unit for advertising; and selling space on the mobile autonomous unit for accommodating a non-human physical object.

17 . The computer implemented method of claim 15 , further comprising maximizing a future revenue generated by the mobile autonomous unit.

18 . A computer-readable data storage medium storing instructions that, when executed by a processor, cause the processor to:

identify a plurality of revenue streams for a mobile autonomous unit, the mobile autonomous unit including an enclosure configured as a living space and as a tenancy space, the plurality of revenue streams including at least two of:

i) a lodging in the mobile autonomous unit;

ii) a riding in the mobile autonomous unit to a destination;

iii) a using of the mobile autonomous unit as a workspace; and

iv) a using of the mobile autonomous unit as a social space; and

activate the at least two revenue streams by causing the mobile autonomous unit to move between at least two locations.

19 . The computer-readable data storage medium of claim 18 , wherein the instructions, when executed by the processor, cause the processor to value the mobile autonomous unit based on:

i) the identified revenue streams;

ii) a predicted home region of the mobile autonomous unit, the home region being a first of a plurality of pre-defined geographical areas in which the mobile autonomous unit spends more time than in any of the other pre-defined geographical areas; and

iii) a predicted future revenue of the mobile autonomous unit generated from one or more of: advertising space on the mobile autonomous unit; energy generated by the mobile autonomous unit; and space on the mobile autonomous unit for accommodating a non-human physical object.

20 . The computer-readable data storage medium of claim 18 , wherein the instructions, when executed by the processor, cause the processor to cause the mobile autonomous unit to move to a location where the mobile autonomous unit is cleaned.

Assignments (2)
STATEMENT OF CHANGE OF ADDRESS OF ASSIGNEE Recorded Jun 17, 2025
From: WELLS FARGO BANK, N.A.
To: WELLS FARGO BANK, N.A.
Reel/Frame 071679/0714 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 13, 2020
From: COPELAND, JENNIFER L.; FISI, SUZANNE M.; HARVEY, SIMONE O.; HATCH, DAVID C.; MUNIR, MUHAMMAD FARUKH; PETRIK, AARON FRANCIS COLFAX; SUEN, DARRELL L.; WARD, TIMOTHY R.; WIRT, STEVEN J.; WYLER, RYAN J.; ZIMMERMAN, NANCY B.; KALABOUKIS, CHRIS
To: WELLS FARGO BANK, N.A.
Reel/Frame 052646/0977 →
Continuity (1)
Continuation 15423792 · Feb 3, 2017