Determining environment-conditioned action sequences for robotic tasks

Determining environment-conditioned action sequences for robotic tasks

Training and/or using a machine learning model for performing robotic tasks is disclosed herein. In many implementations, an environment-conditioned action sequence prediction model is used to determine a set of actions as well as a corresponding particular order for the actions for the robot to per...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Khansari Zadeh, Seyed Mohammad, Pirk, Soeren, Hausman, Karol, Toshev, Alexander
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
CHAMBERS PROVIDED WITH MANIPULATION DEVICES
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HAND TOOLS
MANIPULATORS
PERFORMING OPERATIONS
PHYSICS
PORTABLE POWER-DRIVEN TOOLS
TRANSPORTING
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Beschreibung
Zusammenfassung:Training and/or using a machine learning model for performing robotic tasks is disclosed herein. In many implementations, an environment-conditioned action sequence prediction model is used to determine a set of actions as well as a corresponding particular order for the actions for the robot to perform to complete the task. In many implementations, each action in the set of actions has a corresponding action network used to control the robot in performing the action.