Patents by Inventor Alexander Conrad Lambert

Alexander Conrad Lambert has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • MODEL PREDICTIVE CONTROL TECHNIQUES FOR AUTONOMOUS SYSTEMS
    Publication number: 20240037367
    Abstract: 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.
    Type: Application
    Filed: April 12, 2023
    Publication date: February 1, 2024
    Inventors: Alexander Conrad Lambert, Adam Harper Fishman, Dieter Fox, Byron Boots, Fabio Tozeto Ramos
  • Model predictive control techniques for autonomous systems
    Patent number: 11645492
    Abstract: 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.
    Type: Grant
    Filed: April 28, 2020
    Date of Patent: May 9, 2023
    Assignee: NVIDIA Corporation
    Inventors: Alexander Conrad Lambert, Adam Harper Fishman, Dieter Fox, Byron Boots, Fabio Tozeto Ramos
  • MODEL PREDICTIVE CONTROL TECHNIQUES FOR AUTONOMOUS SYSTEMS
    Publication number: 20210334630
    Abstract: 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.
    Type: Application
    Filed: April 28, 2020
    Publication date: October 28, 2021
    Inventors: Alexander Conrad Lambert, Adam Harper Fishman, Dieter Fox, Byron Boots, Fabio Tozeto Ramos