INTEGRATING SENSOR STREAMS FOR ROBOTIC DEMONSTRATION LEARNING

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for integrating sensor streams for robotic demonstration learning. One of the methods includes selecting, by a learning system for a robot, a base update rate for combining multiple sensor streams into a...

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Bibliographic Details
Main Authors Schönherr, Ralf Oliver Michael, Kolluri, Bala Venkata Sai Ravi Krishna, Schaal, Stefan, Davis, Benjamin M, Ye, Ning
Format Patent
LanguageEnglish
Published 25.11.2021
Subjects
CHAMBERS PROVIDED WITH MANIPULATION DEVICES
HAND TOOLS
MANIPULATORS
PERFORMING OPERATIONS
PORTABLE POWER-DRIVEN TOOLS
TRANSPORTING
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Summary:Methods, systems, and apparatus, including computer programs encoded on computer storage media, for integrating sensor streams for robotic demonstration learning. One of the methods includes selecting, by a learning system for a robot, a base update rate for combining multiple sensor streams into a task state representation. The learning system repeatedly generates the task state representation at the base update rate, including combining, during each time period defined by the update rate, the task state representation from most recently updated sensor data processed by the plurality of neural networks. The learning system repeatedly uses the task state representations to generate commands for the robot at the base update rate.
Bibliography:Application Number: US202016880857