INTERPRETING DISCRETE TASKS FROM COMPLEX INSTRUCTIONS FOR ROBOTIC SYSTEMS AND APPLICATIONS

Approaches provide for performance of a complex (e.g., compound) task that may involve multiple discrete tasks not obvious from an instruction to perform the complex task. A set of conditions for an environment can be determined using captured image data, and the instruction analyzed to determine a...

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Bibliographic Details
Main Authors Kumar, Ratin, Sah, Shagan, Fox, Dieter, Paxton, Christopher Jason
Format Patent
LanguageEnglish
Published 21.09.2023
Subjects
CHAMBERS PROVIDED WITH MANIPULATION DEVICES
CONTROL OR REGULATING SYSTEMS IN GENERAL
CONTROLLING
FUNCTIONAL ELEMENTS OF SUCH SYSTEMS
HAND TOOLS
MANIPULATORS
MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS
PERFORMING OPERATIONS
PHYSICS
PORTABLE POWER-DRIVEN TOOLS
REGULATING
TRANSPORTING
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Summary:Approaches provide for performance of a complex (e.g., compound) task that may involve multiple discrete tasks not obvious from an instruction to perform the complex task. A set of conditions for an environment can be determined using captured image data, and the instruction analyzed to determine a set of final conditions to exist in the environment after performance of the instruction. These initial and end conditions are used to determine a sequence of discrete tasks to be performed to cause a robot or automated device to perform the instruction. This can involve use of a symbolic or visual planner in at least some embodiments, as well as a search of possible sequences of actions available for the robot or automated device. A robot can be caused to perform the sequence of discrete tasks, and feedback provided such that the sequence of tasks can be modified as appropriate.
Bibliography:Application Number: US202217697566