Patents by Inventor Max Moroz

Max Moroz 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).

  • Patent number: 11707840
    Abstract: Mitigating the reality gap through optimization of one or more simulated hardware parameters for simulated hardware components of a simulated robot. Implementations generate and store real navigation data instances that are each based on a corresponding episode of locomotion of a real robot. A real navigation data instance can include a sequence of velocity control instances generated to control a real robot during a real episode of locomotion of the real robot, and one or more ground truth values, where each of the ground truth values is a measured value of a corresponding property of the real robot (e.g., pose). The velocity control instances can be applied to a simulated robot, and one or more losses can be generated based on comparing the ground truth value(s) to corresponding simulated value(s) generated from applying the velocity control instances to the simulated robot. The simulated hardware parameters and environmental parameters can be optimized based on the loss(es).
    Type: Grant
    Filed: November 24, 2021
    Date of Patent: July 25, 2023
    Assignee: GOOGLE LLC
    Inventors: Yunfei Bai, Elmar Mair, Yuchen Wu, Ian Wilkes, Max Moroz, Weidan Wu
  • Publication number: 20230063686
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining neural network architectures.
    Type: Application
    Filed: February 8, 2021
    Publication date: March 2, 2023
    Inventors: Hanhan Li, Max Moroz, Shraman Ray Chaudhuri, Yair Alon, Elad Eban
  • Patent number: 11213946
    Abstract: Mitigating the reality gap through optimization of one or more simulated hardware parameters for simulated hardware components of a simulated robot. Implementations generate and store real navigation data instances that are each based on a corresponding episode of locomotion of a real robot. A real navigation data instance can include a sequence of velocity control instances generated to control a real robot during a real episode of locomotion of the real robot, and one or more ground truth values, where each of the ground truth values is a measured value of a corresponding property of the real robot (e.g., pose). The velocity control instances can be applied to a simulated robot, and one or more losses can be generated based on comparing the ground truth value(s) to corresponding simulated value(s) generated from applying the velocity control instances to the simulated robot. The simulated hardware parameters and environmental parameters can be optimized based on the loss(es).
    Type: Grant
    Filed: December 27, 2018
    Date of Patent: January 4, 2022
    Assignee: X DEVELOPMENT LLC
    Inventors: Yunfei Bai, Elmar Mair, Yuchen Wu, Ian Wilkes, Max Moroz, Weidan Wu