Virtual teach and repeat mobile manipulation system

US11580724B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11580724-B2
Application numberUS-201916570852-A
CountryUS
Kind codeB2
Filing dateSep 13, 2019
Priority dateJul 23, 2019
Publication dateFeb 14, 2023
Grant dateFeb 14, 2023

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Abstract

Official abstract text for this publication.

A method for controlling a robotic device is presented. The method includes positioning the robotic device within a task environment. The method also includes mapping descriptors of a task image of a scene in the task environment to a teaching image of a teaching environment. The method further includes defining a relative transform between the task image and the teaching image based on the mapping. Furthermore, the method includes updating parameters of a set of parameterized behaviors based on the relative transform to perform a task corresponding to the teaching image.

First claim

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What is claimed is: 1. A method of controlling a robotic device, comprising: positioning the robotic device within a task environment; mapping a plurality of task image pixel descriptors associated with a first group of pixels in a task image of a scene in the task environment to a plurality of teaching image pixel descriptors associated with a second group of pixels in a teaching image of a teaching environment, each task image pixel descriptor of the plurality of task image pixel descriptors comprising a first pixel value associated with a pixel in the first group of pixels, and each teaching image pixel descriptor of the plurality of teaching image pixel descriptors comprising a second pixel value associated with a pixel in the second group of pixels, the first pixel value associated with each task image pixel descriptor having a same value as the second pixel value associated with the teaching image pixel descriptor mapped to the respective task image pixel descriptor; defining a relative transform between the task image and the teaching image based on mapping the plurality of task image pixel descriptors, the relative transform indicating a change in an x-axis, y-axis, z-axis, roll, pitch, and yaw between the task image and the teaching image; and updating parameters of a set of parameterized behaviors based on the relative transform to perform a task corresponding to the teaching image. 2. The method of claim 1 , in which the set of parameterized behaviors comprises behaviors performed by a user while the robotic device was trained to perform the task with a virtual reality interface. 3. The method of claim 1 , in which the plurality of task image pixel descriptors are mapped to the plurality of teaching image pixel descriptors at an interval. 4. The method of claim 1 , in which: a first position of the robotic device in the task environment is different from a second position of the robotic device during training in the teaching environment. 5. The method of claim 4 , in which the first position and the second position are associated with one or both of a starting location or pose of the robotic device. 6. The method of claim 4 , in which the first position and the second position are associated with one or both of a starting location or pose of an object on which the task is performed. 7. The method of claim 1 , in which the task environment and the teaching environment are associated with a same environment. 8. An apparatus for controlling a robotic device, the apparatus comprising: a memory; and at least one processor coupled to the memory, the at least one processor configured: to position the robotic device within a task environment; to map a plurality of task image pixel descriptors associated with a first group of pixels in a task image of a scene in the task environment to a plurality of teaching image pixel descriptors associated with a second group of pixels in a teaching image of a teaching environment, each task image pixel descriptor of the plurality of task image pixel descriptors comprising a first pixel value associated with a pixel in the first group of pixels, and each teaching image pixel descriptor of the plurality of teaching image pixel descriptors comprising a second pixel value associated with a pixel in the second group of pixels, the first pixel value associated with each task image pixel descriptor having a same value as the second pixel value associated with the teaching image pixel descriptor mapped to the respective task image pixel descriptor; to define a relative transform between the task image and the teaching image based on mapping the plurality of task image pixel descriptors, the relative transform indicating a change in an x-axis, y-axis, z-axis, roll, pitch, and yaw between the task image and the teaching image; and to update parameters of a set of parameterized behaviors based on the relative transform to perform a task corresponding to the teaching image. 9. The apparatus of claim 8 , in which the set of parameterized behaviors comprises behaviors performed by a user while the robotic device was trained to perform the task with a virtual reality interface. 10. The apparatus of claim 8 , in which the plurality of task image pixel descriptors are mapped to the plurality of teaching image pixel descriptors at an interval. 11. The apparatus of claim 8 , in which: a first position of the robotic device in the task environment is different from a second position of the robotic device during training in the teaching environment. 12. The apparatus of claim 11 , in which the first position and the second position are associated with one or both of a starting location or pose of the robotic device. 13. The apparatus of claim 11 , in which the first position and the second position are associated with one or both of a starting location or pose of an object on which the task is performed. 14. The apparatus of claim 8 , in which the task environment and the teaching environment are associated with a same environment. 15. A non-transitory computer-readable medium having program code recorded thereon for controlling a robotic device, the program code executed by a processor and comprising: program code to position the robotic device within a task environment; program code to map a plurality of task image pixel descriptors associated with a first group of pixels in a task image of a scene in the task environment to a plurality of teaching image pixel descriptors associated with a second group of pixels in a teaching image of a teaching environment, each task image pixel descriptor of the plurality of task image pixel descriptors comprising a first pixel value associated with a pixel in the first group of pixels, and each teaching image pixel descriptor of the plurality of teaching image pixel descriptors comprising a second pixel value associated with a pixel in the second group of pixels, the first pixel value associated with each task image pixel descriptor having a same value as the second pixel value associated with the teaching image pixel descriptor mapped to the respective task image pixel descriptor; program code to define a relative transform between the task image and the teaching image based on mapping the plurality of task image pixel descriptors, the relative transform indicating a change in an x-axis, y-axis, z-axis, roll, pitch, and yaw between the task image and the teaching image; and program code to update parameters of a set of parameterized behaviors based on the relative transform to perform a task corresponding to the teaching image. 16. The non-transitory computer-readable medium of claim 15 , in which the set of parameterized behaviors comprises behaviors performed by a user while the robotic device was trained to perform the task with a virtual reality interface. 17. The non-transitory computer-readable medium of claim 15 , in which the plurality of task image pixel descriptors are mapped to the plurality of teaching image pixel descriptors at an interval. 18. The non-transitory computer-readable medium of claim 15 , in which: a first position of the robotic device in the task environment is different from a second position of the robotic device during training in the teaching environment. 19. The non-transitory computer-readable medium of claim 18 , in which the first position and the second position are associated with one or both of a starting location or pose of the robotic device. 20. The non-transitory computer-readable medium of claim 18 , in

Assignees

Inventors

Classifications

  • Convolutional networks [CNN, ConvNet] · CPC title

  • Supervised learning · CPC title

  • Avoiding collision or forbidden zones · CPC title

  • G06V20/10Primary

    Terrestrial scenes (scenes under surveillance with static cameras G06V20/52; scenes perceived from the exterior of a vehicle G06V20/56; scenes perceived from the interior of a vehicle G06V20/59) · CPC title

  • G06T7/248Primary

    involving reference images or patches · CPC title

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What does patent US11580724B2 cover?
A method for controlling a robotic device is presented. The method includes positioning the robotic device within a task environment. The method also includes mapping descriptors of a task image of a scene in the task environment to a teaching image of a teaching environment. The method further includes defining a relative transform between the task image and the teaching image based on the map…
Who is the assignee on this patent?
Toyota Res Inst Inc
What technology area does this patent fall under?
Primary CPC classification G06V20/10. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 14 2023 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 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).