Robot grasp learning
US-10981272-B1 · Apr 20, 2021 · US
US11580724B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11580724-B2 |
| Application number | US-201916570852-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 13, 2019 |
| Priority date | Jul 23, 2019 |
| Publication date | Feb 14, 2023 |
| Grant date | Feb 14, 2023 |
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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.
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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
Convolutional networks [CNN, ConvNet] · CPC title
Supervised learning · CPC title
Avoiding collision or forbidden zones · CPC title
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
involving reference images or patches · CPC title
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