Nvidia Corporation

Adam Harper Fishman

Dieter Fox

Fabio Tozeto Ramos

Byron Boots

Alexander Conrad Lambert

Balakumar Sundaralingam

Ankur Handa

Arsalan Mousavian

Siva Kumar Sastry Hari

Clemens Eppner

Nathan Donald Ratliff

Adithyavairavan Murali

Elena Oleynikova

Karl Van Wyk

Alexander James Millane

Caelan Reed Garrett

Apparatuses, systems, and techniques to infer a sequence of actions to perform using one or more neural networks trained, at least in part, by optimizing a probability distribution function using a cost function, wherein the probability distribution represents different sequences of actions that can be performed. In at least one embodiment, a model predictive control problem is formulated as a Bayesian inference task to infer a set of solutions.

Autonomous machine control using neural networks

Apparatuses, systems, and techniques to perform collision-free motion generation (e.g., to operate a real-world or virtual robot). In at least one embodiment, at least a portion of the collision-free motion generation is performed in parallel.

Collision-free motion generation

One common robotic task is the rearrangement of physical objects situated in an environment. This typically involves a robot manipulator picking up a target object and placing the target object in some target location, such as a shelf, cabinet or cubby, and requires the skills of picking, placing and generating complex collision-free motions, oftentimes in a cluttered environment. The present disclosure provides collision detection for object rearrangement using a three-dimensional (3D) scene representation.

Collision detection for object rearrangement using a 3D scene representation

Model predictive control techniques for autonomous systems

Growing community of inventors

Seattle, WA, United States of America

Adam Harper Fishman