Patents by Inventor Aidan Fay

Aidan Fay 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).

  • Systems and methods for distributed training and management of AI-powered robots using teleoperation via virtual spaces
    Patent number: 11931907
    Abstract: In some aspects, a system comprises a computer hardware processor and a non-transitory computer-readable storage medium storing processor-executable instructions for receiving, from one or more sensors, sensor data relating to a robot; generating, using a statistical model, based on the sensor data, first control information for the robot to accomplish a task; transmitting, to the robot, the first control information for execution of the task; and receiving, from the robot, a result of execution of the task.
    Type: Grant
    Filed: February 25, 2022
    Date of Patent: March 19, 2024
    Assignee: Massachusetts Institute of Technology
    Inventors: Daniela Rus, Jeffrey Lipton, Aidan Fay, Changhyun Choi
  • SYSTEMS AND METHODS FOR DISTRIBUTED TRAINING AND MANAGEMENT OF AI-POWERED ROBOTS USING TELEOPERATION VIA VIRTUAL SPACES
    Publication number: 20220176563
    Abstract: In some aspects, a system comprises a computer hardware processor and a non-transitory computer-readable storage medium storing processor-executable instructions for receiving, from one or more sensors, sensor data relating to a robot; generating, using a statistical model, based on the sensor data, first control information for the robot to accomplish a task; transmitting, to the robot, the first control information for execution of the task; and receiving, from the robot, a result of execution of the task.
    Type: Application
    Filed: February 25, 2022
    Publication date: June 9, 2022
    Applicant: Massachusetts Institute of Technology
    Inventors: Daniela Rus, Jeffrey Lipton, Aidan Fay, Changhyun Choi
  • Systems and methods for distributed training and management of AI-powered robots using teleoperation via virtual spaces
    Patent number: 11285607
    Abstract: In some aspects, a system comprises a computer hardware processor and a non-transitory computer-readable storage medium storing processor-executable instructions for receiving, from one or more sensors, sensor data relating to a robot; generating, using a statistical model, based on the sensor data, first control information for the robot to accomplish a task; transmitting, to the robot, the first control information for execution of the task; and receiving, from the robot, a result of execution of the task.
    Type: Grant
    Filed: July 15, 2019
    Date of Patent: March 29, 2022
    Assignee: Massachusetts Institute of Technology
    Inventors: Daniela Rus, Jeffrey Lipton, Aidan Fay, Changhyun Choi
  • SYSTEMS AND METHODS FOR DISTRIBUTED TRAINING AND MANAGEMENT OF AI-POWERED ROBOTS USING TELEOPERATION VIA VIRTUAL SPACES
    Publication number: 20200016756
    Abstract: In some aspects, a system comprises a computer hardware processor and a non-transitory computer-readable storage medium storing processor-executable instructions for receiving, from one or more sensors, sensor data relating to a robot; generating, using a statistical model, based on the sensor data, first control information for the robot to accomplish a task; transmitting, to the robot, the first control information for execution of the task; and receiving, from the robot, a result of execution of the task.
    Type: Application
    Filed: July 15, 2019
    Publication date: January 16, 2020
    Applicant: Massachusetts Institute of Technology
    Inventors: Daniela Rus, Jeffrey Lipton, Aidan Fay, Changhyun Choi