Patents by Inventor Michael Danielczuk

Michael Danielczuk 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).

  • Object rearrangement using learned implicit collision functions
    Patent number: 12390929
    Abstract: Apparatuses, systems, and techniques for determining whether collisions will occur in potential paths of an object within a scene. In at least one embodiment, one or more neural networks determine whether collisions will occur in potential paths of an object within a scene based at least in part on point cloud data of the object and the scene.
    Type: Grant
    Filed: March 11, 2021
    Date of Patent: August 19, 2025
    Assignee: NVIDIA Corporation
    Inventors: Michael Danielczuk, Arsalan Mousavian, Clemens Eppner, Dieter Fox
  • OBJECT REARRANGEMENT USING LEARNED IMPLICIT COLLISION FUNCTIONS
    Publication number: 20220152826
    Abstract: Apparatuses, systems, and techniques for determining whether collisions will occur in potential paths of an object within a scene. In at least one embodiment, one or more neural networks determine whether collisions will occur in potential paths of an object within a scene based at least in part on point cloud data of the object and the scene.
    Type: Application
    Filed: March 11, 2021
    Publication date: May 19, 2022
    Inventors: Michael Danielczuk, Arsalan Mousavian, Clemens Eppner, Dieter Fox