Patents by Inventor MAX L. GILBERT

MAX L. GILBERT 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).

  • Trained human-intention classifier for safe and efficient robot navigation
    Patent number: 9776323
    Abstract: A trained classifier to be used with a navigation algorithm for use with mobile robots to compute safe and efficient trajectories. An offline learning process is used to train a classifier for the navigation algorithm (or motion planner), and the classifier functions, after training is complete, to accurately detect intentions of humans within a space shared with the robot to block the robot from traveling along its current trajectory. At runtime, the trained classifier can be used with regression based on past trajectories of humans (or other tracked, mobile entities) to predict where the humans will move in the future and whether the humans are likely to be blockers. The planning algorithm or motion planner generates trajectories based on predictions of human behavior that allow the robot to navigate amongst crowds of people more safely and efficiently.
    Type: Grant
    Filed: January 6, 2016
    Date of Patent: October 3, 2017
    Assignee: DISNEY ENTERPRISES, INC.
    Inventors: Carol Ann O'Sullivan, Chonhyon Park, Max L. Gilbert, Jan Ondrej, Kyle G. Freeman
  • TRAINED HUMAN-INTENTION CLASSIFIER FOR SAFE AND EFFICIENT ROBOT NAVIGATION
    Publication number: 20170190051
    Abstract: A trained classifier to be used with a navigation algorithm for use with mobile robots to compute safe and efficient trajectories. An offline learning process is used to train a classifier for the navigation algorithm (or motion planner), and the classifier functions, after training is complete, to accurately detect intentions of humans within a space shared with the robot to block the robot from traveling along its current trajectory. At runtime, the trained classifier can be used with regression based on past trajectories of humans (or other tracked, mobile entities) to predict where the humans will move in the future and whether the humans are likely to be blockers. The planning algorithm or motion planner generates trajectories based on predictions of human behavior that allow the robot to navigate amongst crowds of people more safely and efficiently.
    Type: Application
    Filed: January 6, 2016
    Publication date: July 6, 2017
    Inventors: CAROL ANN O'SULLIVAN, CHONHYON PARK, MAX L. GILBERT, JAN ONDREJ, KYLE G. FREEMAN