Apple Inc.
Controlling joints using learned torques

Last updated:

Abstract:

A method includes obtaining video data including a representation of a first plurality of motions of a real-world entity. The method includes determining, from the video data, a plurality of estimated torque values using a motion controller. The plurality of estimated torque values is associated with a plurality of real-world joints corresponding to the first plurality of motions. The method includes generating a second plurality of motions of a virtual agent by providing the plurality of estimated torque values to a corresponding plurality of virtual joints of the virtual agent. Movement of the virtual agent is controllable by the plurality of virtual joints, corresponding to the plurality of real-world joints of the real-world entity. The method includes, responsive to a determination that a comparison between the first plurality of motions and the second plurality of motions does not satisfy a performance metric, changing an operational value of the motion controller.

Status:
Grant
Type:

Utility

Filling date:

11 Feb 2021

Issue date:

30 Aug 2022