IP Library Granted Patent US 10,919,163
Granted Patent B1
US 10,919,163 · App. 16/360,643 · Granted Feb 16, 2021

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.
B25J19/005B25J5/007B60L3/0015B60L53/12B60L53/14B60L53/305B60L53/35B60L53/37B60L53/38G05D1/0297G06N20/00G08B13/00G08B25/10H02J7/0042B60L2240/70G05D2201/0209Y02T10/70Y02T10/7072Y02T10/72Y02T90/12Y02T90/14Y02T90/16Y10S901/01
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Quick Facts
Patent No.
US 10,919,163
App. No.
16/360,643
Granted
Feb 16, 2021
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 (17)

1. A method for charging an autonomous data machine, the method comprising:

providing 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;

charging the autonomous data machine according to a charging decision; 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 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.

3. The method of claim 1 , further comprising generating the charging decision 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.

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

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

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

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

8. The method of claim 7 , wherein the charging station is not in direct contact with the autonomous charging machine during charging.

9. The method of claim 1 , wherein the power supply is charged based on contact charging and the charging station is provided with a conductive planar surface to be in direct contact with two electrodes from the autonomous data machine.

10. 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, wherein the one or more propulsion units are powered by the power supply.

11. The method of claim 1 , wherein the charging decision is generated by one or more processors of the autonomous data machine.

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

13. The method of claim 12 , 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.

14. The method of claim 1 , further comprising transmitting data collected from one or more sensors of the autonomous data machine to a remote control center during charging 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 Apr 2, 2019
From: LI, WILLIAM SANTANA; WONG, PHILLIP; STEPHENS, STACY DEAN; SORIA-LI, MERCEDES; VILLA, DOMINIC A.; LEHNHARDT, AARON J.; STOSCHEK, ARNE
To: KNIGHTSCOPE, INC.
Reel/Frame 048765/0806 →
Continuity (4)
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 (8)
US 12,195,039 US 12,334,213 US 12,469,595 US 12,552,285 US 12,573,502 US 12,591,839 US 12,700,498 US 12,731,682