Multi-purpose robots and computer program products, and methods for operating the same

US2023381957A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2023381957-A1
Application numberUS-202318231888-A
CountryUS
Kind codeA1
Filing dateAug 9, 2023
Priority dateAug 13, 2021
Publication dateNov 30, 2023
Grant date

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

Robots, systems, methods, and computer program products for training and operating (semi-)autonomous robots to complete work objectives are described. A robot accesses a library of reusable work primitives from a catalog of libraries of reusable work primitives, each reusable work primitive corresponding to a respective basic sub-action that the robot is trained to autonomously perform. A work objective is analyzed to determine a sequence of reusable work primitives that complete the work objective, and the robot executes the sequence to complete the work objective. A robot can be deployed with access to an appropriate library of reusable work primitives, based on expectations for the robot. The robot is trained to perform reusable work primitives in multiple libraries, by generating control instructions which cause the robot to perform each reusable work primitive. Training is performed by real-world robots performing reusable work primitives, or simulated robot instances performing the reusable work primitives.

First claim

Opening claim text (preview).

1 . A computer-implemented method of training a robot to complete a plurality of work objectives including at least one first work objective in a first service category and at least one second work objective in a second service category, the method comprising: defining a first library of reusable work primitives each performable by the robot, wherein at least one respective combination and permutation of reusable work primitives from the first library of reusable work primitives are initiable and executable by the robot in order to complete the at least one first work objective in the first service category; and defining a second library of reusable work primitives each performable by the robot, the second library of reusable work primitives being at least partially different from the first library of reusable work primitives, wherein at least one respective combination and permutation of reusable work primitives from the second library of reusable work primitives are initiable and executable by the robot in order to complete the at least one second work objective in the second service category; training the robot to autonomously perform each reusable work primitive in the first library of reusable work primitives; and training the robot to autonomously perform each reusable work primitive in the second library of reusable work primitives. 2 . The method of claim 1 , wherein training the robot to autonomously perform each reusable work primitive in the second library of reusable work primitives comprises: training each reusable work primitive in the second library of reusable work primitives which is not included in the first library of reusable work primitives; and retrieving training data for each reusable work primitive in the second library of reusable work primitives which is included in the first library of reusable work primitives, wherein the training data is generated while training the robot to autonomously perform each reusable work primitive in the first library of reusable work primitives. 3 . The method of claim 1 , wherein: the first library of reusable work primitives and the second library of reusable work primitives are included in a catalog of libraries of reusable work primitives; the method further comprises training the robot to autonomously perform each reusable work primitive in the catalog of libraries of reusable work primitives; training the robot to autonomously perform each reusable work primitive in the first library of reusable work primitives is included in training the robot to autonomously perform each reusable work primitive in the catalog of libraries of reusable work primitives; and training the robot to autonomously perform each reusable work primitive in the second library of reusable work primitives is included in training the robot to autonomously perform each reusable work primitive in the catalog of libraries of reusable work primitives. 4 . The method of claim 1 wherein training the robot to autonomously perform each reusable work primitive in the first library of reusable work primitives and training the robot to autonomously perform each reusable work primitive in the second library of reusable work primitives include training the robot to autonomously perform each reusable work primitive in the first library of reusable work primitives and the second library of reusable work primitives in a simulated environment. 5 . The method of claim 4 wherein training the robot to autonomously perform each reusable work primitive in the first library of reusable work primitives and the second library of reusable work primitives in a simulated environment includes: generating a first simulated instance of the robot in the simulated environment; repeatedly executing processor-executable instructions to cause the first simulated instance of the robot to perform a first reusable work primitive in the first library of reusable work primitives or the second library of reusable work primitives; and refining the processor-executable instructions that cause the first simulated instance of the robot to perform the first reusable work primitive based on at least one result of repeatedly executing the processor-executable instructions to cause the first simulated instance of the robot to perform the first reusable work primitive. 6 . The method of claim 5 wherein training the robot to autonomously perform each reusable work primitive in the first library of reusable work primitives and the second library of reusable work primitives of reusable work primitives in a simulated environment further includes: generating at least one additional simulated instance of the robot in the simulated environment; repeatedly executing processor-executable instructions to cause the at least one additional simulated instance of the robot to perform the first reusable work primitive; and refining the processor-executable instructions that cause both the first simulated instance of the robot and the at least one additional simulated instance of the robot to perform the first reusable work primitive based on at least one result of repeatedly executing the processor-executable instructions to cause the first simulated instance of the robot and the at least one additional simulated instance of the robot to perform the first reusable work primitive. 7 . The method of claim 5 wherein training the robot to autonomously perform each reusable work primitive in the first library of reusable work primitives and the second library of reusable work primitives of reusable work primitives in a simulated environment further includes: repeatedly executing processor-executable instructions to cause the first simulated instance of the robot to perform at least one additional reusable work primitive in the first library of reusable work primitives or in the second library of reusable work primitives; and refining the processor-executable instructions that cause the first simulated instance of the robot to perform the at least one additional reusable work primitive based on at least one result of repeatedly executing the processor-executable instructions to cause the first simulated instance of the robot to perform the at least one additional reusable work primitive. 8 . The method of claim 1 wherein training the robot to autonomously perform each reusable work primitive in the first library of reusable work primitives and the second library of reusable work primitives of reusable work primitives includes: receiving teleoperation instructions that cause the robot to perform a first reusable work primitive in the first library of reusable work primitives or the second library of reusable work primitives of reusable work primitives; executing the teleoperation instructions to cause the robot to perform the first reusable work primitive; and generating processor-executable instructions that cause the robot to replay the teleoperation instructions that cause the robot to perform the first reusable work primitive. 9 . The method of claim 8 wherein receiving teleoperation instructions that cause the robot to perform a first reusable work primitive includes receiving low-level teleoperation instructions that cause the robot to emulate real physical actions performed by a real teleoperation pilot. 10 . The method of claim 8 wherein receiving teleoperation instructions that cause the robot to perform a first reusable work primitive includes receiving high-level teleoperation instructions that cause the robot to perform actions selected from a graphical user interface. 11 . The method of claim 8 wherein training the robot to autonomously perform each reusable work primitive in the first library

Assignees

Inventors

Classifications

  • Manipulators for service tasks · CPC title

  • Teleoperation · CPC title

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

  • B25J9/161Primary

    Hardware, e.g. neural networks, fuzzy logic, interfaces, processor · CPC title

  • B25J9/163Primary

    learning, adaptive, model based, rule based expert control · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US2023381957A1 cover?
Robots, systems, methods, and computer program products for training and operating (semi-)autonomous robots to complete work objectives are described. A robot accesses a library of reusable work primitives from a catalog of libraries of reusable work primitives, each reusable work primitive corresponding to a respective basic sub-action that the robot is trained to autonomously perform. A work …
Who is the assignee on this patent?
Sanctuary Cognitive Systems Corp
What technology area does this patent fall under?
Primary CPC classification B25J9/161. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Thu Nov 30 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).