Robotic device task learning

Abstract

A method may include obtaining a task-specific state of a robotic device associated with performing a task by the robotic device. The method may also include mapping the task-specific state to a general state of the robotic device, where the general state may applicable to multiple tasks and may include a variable number of elements. The method may additionally include obtaining a set of generic actions represented by a set of parameters, where the set of generic actions may be used to perform the multiple tasks. The method may also include processing the general state of the robotic device to solve for the set of parameters and to predict a next action in performing the task, where the next action may be selected from the set of generic actions, and performing the next action using the set of parameters solved for.

Dependencies are inferred from the claim text.