Force estimation using deep learning
AssigneeNVIDIA Corporation
InventorsStan Birchfield, Byron Boots, Dieter Fox, Ankur Handa, Nathan Ratliff, Balakumar Sundaralingam, Alexander Lambert
Life of this patent
Estimating the term…
Loading patent…
AssigneeNVIDIA Corporation
InventorsStan Birchfield, Byron Boots, Dieter Fox, Ankur Handa, Nathan Ratliff, Balakumar Sundaralingam, Alexander Lambert
Estimating the term…
A computer system generates a tactile force model for a tactile force sensor by performing a number of calibration tasks. In various embodiments, the calibration tasks include pressing the tactile force sensor while the tactile force sensor is attached to a pressure gauge, interacting with a ball, and pushing an object along a planar surface. Data collected from these calibration tasks is used to train a neural network. The resulting tactile force model allows the computer system to convert signals received from the tactile force sensor into a force magnitude and direction with greater accuracy than conventional methods. In an embodiment, force on the tactile force sensor is inferred by interacting with an object, determining the motion of the object, and estimating the forces on the object based on a physical model of the object.
A method, comprising:
A system, comprising:
One or more non-transitory computer-readable storage media having stored thereon executable instructions that, as a result of being executed by one or more processors of a computer system, cause the computer system to at least:
Dependencies are inferred from the claim text.