Robot control, training and collaboration in an immersive virtual reality environment

US9643314B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9643314-B2
Application numberUS-201514638973-A
CountryUS
Kind codeB2
Filing dateMar 4, 2015
Priority dateMar 4, 2015
Publication dateMay 9, 2017
Grant dateMay 9, 2017

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

System and methods to create an immersive virtual environment using a virtual reality system that receives parameters corresponding to a real-world robot. The real-world robot may be simulated to create a virtual robot based on the received parameters. The immersive virtual environment may be transmitted to a user. The user may supply input and interact with the virtual robot. Feedback such as the current state of the virtual robot or the real-world robot may be provided to the user. The user may train the virtual robot. The real-world robot may be programmed based on the virtual robot training.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for programming a robot, comprising: creating an immersive virtual environment (IVE) using a virtual reality system (VRS); receiving, by the VRS, parameters corresponding to a real-world robot; creating, by the VRS within said IVE, a virtual robot, wherein the virtual robot is a simulation of the real-world robot based on the received parameters; transmitting, by the VRS, a representation of said IVE to a user; receiving, by the VRS, input from the user, wherein said VRE is configured to allow the user to interact with the virtual robot using said user input; providing, by the VRS within said IVE, robot feedback to the user, wherein said robot feedback includes a current state of the virtual robot; training, in the VRS, the virtual robot in the IVE by the user; and programming, by the VRS, the real-world robot based on the virtual robot training, wherein said user interaction includes an egocentric perspective, wherein the user operates the virtual robot from a point of view of the robot, and a robot's end effector directly follows a motion of a hand of the user. 2. The method of claim 1 , wherein an image of an arm of the robot is overlaid where an arm of the user would be in real life. 3. The method of claim 1 , wherein said user interaction includes an exocentric perspective, where the user views the virtual robot inside the IVE from a point of view external to the robot. 4. The method of claim 1 , wherein said user interaction includes controlling the real-world robot in real-time. 5. The method of claim 1 , wherein said IVE includes an augmented environment. 6. The method of claim 1 , wherein said IVE includes a virtual reality environment. 7. The method of claim 1 , wherein the virtual robot is programmed with a series of gestures. 8. The method of claim 1 , wherein the virtual robot is programmed by using a virtual user interface. 9. The method of claim 1 , wherein the virtual robot is programmed with a series of motions. 10. The method of claim 9 , wherein the virtual robot replays the series of motions before the series of motions are programmed into the real-world robot. 11. The method of claim 9 , wherein a plurality of real-world robots are programmed with the series of motions. 12. The method of claim 1 , wherein said robot feedback is supplied via a virtual information display (VID), wherein the virtual information display is one of: a 2D sprite or a 3D mesh, and the VID is configurable to be textured or shaded. 13. The method of claim 12 , wherein the VID is configurable to be at least one of: locked to the virtual robot, locked to a view of the user, or locked to an avatar of the user. 14. The method of claim 1 , wherein the IVE includes mixed reality user interfaces (UIs), wherein the UIs are configured to be at least one of: adjusted by the user, locked to an avatar of the user, locked to the virtual robot, or locked to a view of the user. 15. The method of claim 1 , wherein the user interacts with the IVE using at least one of: a stereoscopic 3D display, a virtual reality headset, or an augmented reality device. 16. The method of claim 1 , wherein the real-world robot includes one of: an industrial robot, a domestic robot, an articulated welding robot, an autonomous robot, a military robot, or a medical robot. 17. The method of claim 1 , wherein the real-world robot is one of: remotely operated a distance from the user, located in a hazardous environment, or dangerous for the user to be in close proximity. 18. The method of claim 1 , wherein said virtual robot controls a plurality of real-world robots. 19. The method of claim 1 , wherein said IVE is configurable to define geometric primitives or detailed 3D mesh objects as overlays of real time sensing data to define geometric regions for interaction for the real-world robot. 20. The method of claim 1 , wherein said IVE is configurable to define virtual constraints for the virtual robot, wherein said virtual constraints are translated physical constraints imposed on the real-world robot. 21. The method of claim 1 , wherein said IVE is configurable to display real-time 2D or 3D video or depth information on a virtual scene overlaid in a geometrically correct manner on any 3D representation in the IVE. 22. The method of claim 1 , wherein said IVE is configurable to display forces applied by the robot, or other objects, as sensed by the real-world robot. 23. The method of claim 1 , wherein said IVE is configurable to display a real time representation of a real life environment with an ability to seamlessly transition between the real life environment and a virtual environment. 24. The method of claim 1 , wherein a plurality of users can interact with the IVE. 25. The method of claim 1 , further comprising: training said user using IVE on said real-world robot using said virtual robot. 26. The method of claim 25 , wherein said IVE is used as a sandbox for learning robot programming or task plan specification using said virtual robot.

Assignees

Inventors

Classifications

  • characterised by simulation, either to verify existing program or to create and verify new program, CAD/CAM oriented, graphic oriented programming systems · CPC title

  • Machine driven lead through · CPC title

  • Virtual reality control, programming of manipulator · CPC title

  • Cable harnessing robot · CPC title

  • B25J9/1605Primary

    Simulation of manipulator lay-out, design, modelling of manipulator · CPC title

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What does patent US9643314B2 cover?
System and methods to create an immersive virtual environment using a virtual reality system that receives parameters corresponding to a real-world robot. The real-world robot may be simulated to create a virtual robot based on the received parameters. The immersive virtual environment may be transmitted to a user. The user may supply input and interact with the virtual robot. Feedback such as …
Who is the assignee on this patent?
Univ Johns Hopkins
What technology area does this patent fall under?
Primary CPC classification B25J9/1605. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue May 09 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).