Nvidia Corporation

Isabella Huang

Dieter Fox

Miles Macklin

Tucker Ryer Hermans

Yashraj Shyam Narang

Fabio Tozeto Ramos

Ankur Handa

Balakumar Sundaralingam

Clemens Eppner

Apparatuses, systems, and techniques to generate a predicted outcome of an object resulting from a robotic component applying a force. In at least one embodiment, a predicted outcome of an object resulting from a robotic component applying a force is generated based on, for example, a neural network.

Predicting grasp outcomes

Candidate grasping models of a deformable object are applied to generate a simulation of a response of the deformable object to the grasping model. From the simulation, grasp performance metrics for stress, deformation controllability, and instability of the response to the grasping model are obtained, and the grasp performance metrics are correlated with robotic grasp features.

Method for assessing the quality of a robotic grasp on 3D deformable objects

Growing community of inventors

Berkeley, CA, United States of America

Isabella Huang