IP Library Granted Patent US 11,745,605
Granted Patent B1
US 11,745,605 · App. 17/148,346 · Granted Sep 5, 2023

Autonomous data machines and systems

Inventors: William Santana Li (Mountain View, CA); Stacy Dean Stephens (McKinney, TX); Mercedes Soria-Li (Mountain View, CA); Aaron J. Lehnhardt (Mission Viejo, CA); Dominic A. Villa (Sunnyvale, CA); Phillip Wong (San Francisco, CA); Arne Stoschek (Palo Alto, CA)
Assignee: Knightscope, Inc.
B60L53/14B25J5/007B25J19/005B60L3/0015B60L53/12B60L53/126B60L53/305B60L53/35B60L53/37B60L53/38G05D1/0297G06N20/00G08B13/00G08B25/10H02J7/0042B60L2240/70G05D2201/0209Y02T10/70Y02T10/7072Y02T10/72Y02T90/12Y02T90/14Y02T90/16Y10S901/01
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,745,605
App. No.
17/148,346
Granted
Sep 5, 2023
Kind
B1
Abstract

A charging system for an autonomous data machine may be provided. The system may comprise: a charging station, wherein the charging station has a low profile allowing the autonomous data machine to drive over to charge a power supply of the autonomous data machine automatically; and one or more processors of the autonomous data machine configured to make charging decisions to effect charging operations of the autonomous data machine that include charging time, charging location, and operations to be performed during charging. In some instances, the charging decision are based on at least one of the following: location of charging station, availability of charging station, mission parameters, locations of other autonomous data machines, and/or charging requirements and/or availability of charging stations.

Claims (18)

1. A method for charging an autonomous data machine, the method comprising: providing a charging station for charging a power supply of the autonomous data machine automatically; and

collecting, concurrently with charging the autonomous data machine, data about the environment of the autonomous data machine using one or more sensors on-board the autonomous data machine.

2. The method of claim 1 , wherein the autonomous data machine comprises one or more propulsion units configured to permit the autonomous data machine to traverse an environment.

3. The method of claim 2 , wherein the one or more propulsion units are powered by the power supply.

4. The method of claim 1 , further comprising generating a surveillance path during charging the autonomous data machine.

5. The method of claim 4 , wherein the surveillance path is determined based on at least one of the following: location of charging station, future charging time, mission parameters, locations of other autonomous data machines, and/or availability of charging stations.

6. The method of claim 1 , further comprising transmitting data collected from the one or more sensors of the autonomous data machine to a remote control center during charging the autonomous data machine.

7. The method of claim 1 , further comprising generating a charging schedule.

8. The method of claim 7 , wherein the charging decision comprises information to effect charging operations of the autonomous data machine that include charging time, charging location, and operations to be performed during charging.

9. The method of claim 1 , further the charging schedule is generated based on at least one of the following: location of charging station, availability of charging station, mission parameters, locations of other autonomous data machines, and/or charging requirements and/or availability of charging stations.

10. The method of claim 1 , wherein the charging station has a low profile with a thickness of less than 1 cm.

11. The method of claim 1 , wherein the charging station is fixed to the ground.

12. The method of claim 1 , wherein the charging station is fixed to a wall.

13. The method of claim 1 , wherein the power supply of the autonomous data machine is a rechargeable battery.

14. The method of claim 1 , wherein the power supply of the autonomous data machine is charged based on inductive charging.

15. The method of claim 1 , wherein the charging station is not in direct contact with the autonomous charging machine during charging.

16. The method of claim 1 , wherein the power supply is charged based on contact charging.

17. The method of claim 16 , wherein the charging station is provided with a conductive planar surface to be in direct contact with electrodes from the autonomous data machine.

Assignments (3)
RELEASE OF SECURITY INTEREST Recorded Jan 10, 2024
From: ALTO OPPORTUNITY MASTER FUND, SPC-SEGREGATED MASTER PORTFOLIO B
To: KNIGHTSCOPE, INC.
Reel/Frame 066086/0966 →
SECURITY INTEREST Recorded Oct 14, 2022
From: KNIGHTSCOPE, INC.
To: ALTO OPPORTUNITY MASTER FUND, SPC - SEGREGATE MASTER PORTFOLIO B
Reel/Frame 061423/0186 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 24, 2021
From: LI, WILLIAM SANTANA; STEPHENS, STACY DEAN; SORIA-LI, MERCEDES; LEHNHARDT, AARON J.; VILLA, DOMINIC A.; WONG, PHILLIP; STOSCHEK, ARNE
To: KNIGHTSCOPE, INC.
Reel/Frame 055395/0045 →
Continuity (5)
Continuation 16360643 · Mar 21, 2019
Continuation 15215540 · Jul 20, 2016
Continuation In Part 14599073 · Jan 16, 2015
Provisional Application 62195242 · Jul 21, 2015
Provisional Application 61929007 · Jan 17, 2014
Cited By (6)
US 12,282,901 US 12,334,213 US 12,469,595 US 12,573,502 US 12,700,498 US 12,731,682