IP Library Granted Patent US 11,192,262
Granted Patent B2
US 11,192,262 · App. 16/145,362 · Granted Dec 7, 2021

Controlling robot with head mounted controller

Inventors: Justin Starr (Baden, PA); Galin Konakchiev (Pittsburgh, PA); Foster J Salotti (Verona, PA); Todd Kueny (Tarentum, PA); Thorin Tobiassen (Pittsburgh, PA); Nate Alford (North Huntington, PA); Mark Jordan (Pittsburgh, PA); Christopher White (Pittsburgh, PA)
Assignee: RedZone Robotics, Inc.
B25J13/087B25J11/008G06F3/015F16L2201/30
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Quick Facts
Patent No.
US 11,192,262
App. No.
16/145,362
Granted
Dec 7, 2021
Kind
B2
Abstract

An embodiment provides a method of controlling a pipe inspection robot, including: detecting, from a headset, brain activity of a user wearing the headset; binning the brain activity of the user into one of a plurality of different bins; the binning comprising accumulating brain activity values for a period of time to establish a brain activity value for the period of time; determining, using the brain activity value, if a threshold level of brain activity has accumulated over the period of time; after the threshold level has been accumulated, identifying a control action to be sent to the pipe inspection robot based on the brain activity value; and controlling the movement of the pipe inspection robot using a control signal associated with the control action. Other embodiments are described and claimed.

Claims (41)

1. A method of controlling a pipe inspection robot, comprising:

detecting, from a headset, brain activity of a user wearing the headset;

binning, using a processor, the brain activity of the user into one of a plurality of different bins associated with a plurality of control actions;

the binning comprising accumulating brain activity values for a period of time to establish a brain activity value for the period of time;

determining, using the brain activity value accumulated over the period of time, an intensity level of brain activity and an associated control action of the plurality of control actions;

thereafter, identifying the control action to be sent to the pipe inspection robot based on the intensity level; and

controlling the movement of the pipe inspection robot using a control signal associated with the control action.

2. The method of claim 1 , wherein the binning comprises accumulating digital values obtained from the headset for the period of time.

3. The method of claim 2 , wherein the determining comprises determining if one of a plurality of threshold levels of brain activity has accumulated over the period of time.

4. The method of claim 3 , wherein the plurality of threshold levels comprises a light threshold level, a moderate threshold level, and a heavy threshold level.

5. The method of claim 4 , wherein each of the light threshold level, the moderate threshold level, and the heavy threshold level comprise a separate range of values.

6. The method of claim 5 , wherein the separate range of values for each respective threshold level is associated with a different voltage value obtained from the headset.

7. The method of claim 1 , wherein the control action is selected from control actions comprising forward driving, reverse driving, and stopping.

8. The method of claim 1 , wherein the control action is selected from control actions comprising activating a visual image capture mode, activating a sonar capture mode, and activating a light detecting and ranging (LIDAR) capture mode.

9. The method of claim 1 , wherein the controlling the movement of the pipe inspection robot using a control signal associated with the control action comprises sending the control signal from a remote device to the pipe inspection robot using a tethered connection.

10. The method of claim 1 , wherein the controlling the movement of the pipe inspection robot using a control signal associated with the control action comprises sending the control signal from a remote device to the pipe inspection robot wirelessly.

11. A system, comprising:

a controller comprising a processor and a memory device, the controller configured to:

receive digital voltage values associated with brain activity of a user detected by a headset worn by the user;

bin the digital voltage values into one of a plurality of different bins associated with a plurality of control actions;

the controller being configured to accumulate digital voltage values for a period of time to establish a brain activity value for the period of time;

determine, using the brain activity value accumulated over the period of time, an intensity level of brain activity and an associated control action of the plurality of control actions;

thereafter identify the control action to be sent to the pipe inspection robot based on the intensity level; and

control the movement of a pipe inspection robot using a control signal associated with the control action.

12. The system of claim 11 , comprising the pipe inspection robot.

13. The system of claim 11 , comprising the headset.

14. The system of claim 11 , comprising one or more of the pipe inspection robot and the headset;

wherein the controller is disposed within one of the pipe inspection robot and the headset.

15. A computer program product, comprising:

a non-transitory storage medium having computer executable code stored therein, the computer executable code comprising:

code that obtains, from a headset, brain activity of a user wearing the headset;

code that bins the brain activity of the user into one of a plurality of different bins associated with a plurality of control actions;

the code that bins comprising code that accumulates brain activity values for a period of time to establish a brain activity value associated with an intensity level for the period of time;

code that determines, using the brain activity value accumulated over the period of time, an intensity level of brain activity and an associated control action of the plurality of control actions;

code that thereafter identifies the control action to be sent to the pipe inspection robot based on the intensity level; and

code that controls the movement of the pipe inspection robot using a control signal associated with the control action.

16. The computer program product of claim 15 , wherein the code that bins comprises code that accumulates digital values obtained from the headset for the period of time.

17. The computer program product of claim 16 , wherein the code that determines comprises code that determines if one of a plurality of threshold levels of brain activity has accumulated over the period of time.

18. The computer program product of claim 17 , wherein the plurality of threshold levels comprises a light threshold level, a moderate threshold level, and a heavy threshold level.

19. The computer program product of claim 18 , wherein each of the light threshold level, the moderate threshold level, and the heavy threshold level comprise a separate range of values.

20. The computer program product of claim 19 , wherein the separate range of values for each respective threshold level is associated with a different voltage value obtained from the headset.

Assignments (5)
RELEASE OF SECURITY INTEREST Recorded Dec 20, 2022
From: MONROE CAPITAL MANAGEMENT ADVISORS, LLC
To: REDZONE ROBOTICS, INC., A DELAWARE CORPORATION
Reel/Frame 062160/0326 →
SECURITY INTEREST Recorded Dec 20, 2022
From: REDZONE ROBOTICS, INC.; RZR HOLDCO, INC.; RZR BUYER SUB, INC.
To: FIRST COMMONWEALTH BANK
Reel/Frame 062160/0976 →
SECURITY INTEREST Recorded Sep 17, 2019
From: REDZONE ROBOTICS, INC.
To: MONROE CAPITAL MANAGEMENT ADVISORS, LLC, AS ADMINISTRATIVE AGENT
Reel/Frame 050407/0158 →
SECURITY INTEREST Recorded Feb 25, 2019
From: REDZONE ROBOTICS, INC.
To: MONROE CAPITAL MANAGEMENT ADVISORS, LLC, AS ADMINISTRATIVE AGENT
Reel/Frame 048428/0963 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 28, 2018
From: STARR, JUSTIN; KONAKCHIEV, GALIN; KUENY, TODD; SALOTTI, FOSTER J; TOBIASSEN, THORIN; ALFORD, NATE; JORDAN, MARK; WHITE, CHRISTOPHER
To: REDZONE ROBOTICS, INC
Reel/Frame 047003/0325 →
Continuity (2)
Provisional Application 62565180 · Sep 29, 2017
Related Publication 20190099896A1 · Apr 4, 2019