Patents by Inventor Jason Vandeventer

Jason Vandeventer 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: 20220366244
    Abstract: A system and method for modeling human behavior includes receiving, by a classifier module, sensor data from one or more sensors monitoring human behavior associated with a work task and to identify the type of human behavior based on a trained neural network. A prediction module receives the identified type of human behavior from the classifier and generates prediction data representing predicted next one or more human actions based on a time series of position vectors learned by the trained neural network. A rendering module translates the prediction data into a visual rendering for a virtual human simulation model.
    Type: Application
    Filed: September 30, 2019
    Publication date: November 17, 2022
    Inventors: Jason Vandeventer, Arquimedes Martinez Canedo, Mayuri Deshpande
  • Publication number: 20220198269
    Abstract: A system and method to apply deep learning techniques to an automation engineering environment are provided. Big code files and automation coding files are retrieved by the system from public repositories and private sources, respectively. The big code files include examples general software structure examples to be utilized by the method and system to train advanced automation engineering software. The system represents the coding files in a common space as embedded graphs which a neural network of the system uses to learn patterns. Based on the learning, the system can predict patterns in the automation coding files. From the predicted patterns executable automation code may be created to augment the existing automation coding files.
    Type: Application
    Filed: February 5, 2019
    Publication date: June 23, 2022
    Inventors: Arquimedes Martinez Canedo, Palash Goyal, Jason Vandeventer, Ling Shen
  • Publication number: 20220026884
    Abstract: Over the past several decades, rapid advances in semiconductors, automation, and control systems have resulted in the widespread adoption of advanced automated machines (including robots) in complex industrial environments. These machines are deployed in a very wide range of industrial settings and carry out an immense variety tasks in a limited and predefined manner. A systematic approach coordinates the actions of machines to allow a hierarchy of autonomous systems to make decisions about how to meet manufacturing demands, including delegation to lower-level autonomous systems.
    Type: Application
    Filed: January 25, 2019
    Publication date: January 27, 2022
    Inventors: Gustavo Arturo Quiros Araya, Jason Vandeventer, Andras Varro, Richard Gary McDaniel