Patents by Inventor Aviv Tamar

Aviv Tamar 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).

  • Publication number: 20240027208
    Abstract: Synthetic requests are received including coordinates randomly generated, time windows artificially generated, and time-on-site intervals randomly generated. Routes are simulated including a navigation sequence that includes locations corresponding to each synthetic request. A cost function (reflecting a time duration required for completion of the route) is applied to each simulated route to determine quality. A model is trained to artificially generate routes based on the determined quality. Real-world requests are received including real-world coordinates, time windows, and time-on-site intervals. The received real-world requests are projected onto a domain on which the model was trained by generating a distance matrix that reflects a fully-connected graph representing travel times between respective geographic locations corresponding to the real-world requests. Using the model as trained based on the simulated routes, a route is generated with respect to virtual locations.
    Type: Application
    Filed: October 4, 2021
    Publication date: January 25, 2024
    Inventors: AVIV TAMAR, SHAY NATIV, ELI SAFRA
  • Patent number: 11507826
    Abstract: A computer system uses Learning from Demonstration (LfD) techniques in which a multitude of tasks are demonstrated without requiring careful task set up, labeling, and engineering, and learns multiple modes of behavior from visual data, rather than averaging the multiple modes. As a result, the computer system may be used to control a robot or other system to exhibit the multiple modes of behavior in appropriate circumstances.
    Type: Grant
    Filed: July 31, 2019
    Date of Patent: November 22, 2022
    Assignee: Osaro
    Inventors: Khashayar Rohanimanesh, Aviv Tamar, Yinlam Chow
  • Publication number: 20200042874
    Abstract: A computer system uses Learning from Demonstration (LfD) techniques in which a multitude of tasks are demonstrated without requiring careful task set up, labeling, and engineering, and learns multiple modes of behavior from visual data, rather than averaging the multiple modes. As a result, the computer system may be used to control a robot or other system to exhibit the multiple modes of behavior in appropriate circumstances.
    Type: Application
    Filed: July 31, 2019
    Publication date: February 6, 2020
    Inventors: Khashayar Rohanimanesh, Aviv Tamar, Yinlam Chow