Patents by Inventor Keunjun CHOI

Keunjun CHOI 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).

  • Method for learning robot task and robot system using the same
    Patent number: 12214495
    Abstract: The present invention relates to methods for learning a robot task and robots systems using the same. A robot system may include a robot configured to perform a task, and detect force information related to the task, a haptic controller configured to be manipulatable for teaching the robot, the haptic controller configured to output a haptic feedback based on the force information while teaching of the task to the robot is performed, a sensor configured to sense first information related to a task environment of the robot and second information related to a driving state of the robot, while the teaching is performed by the haptic controller for outputting the haptic feedback, and a computer configured to learn a motion of the robot related to the task, by using the first information and the second information, such that the robot autonomously performs the task.
    Type: Grant
    Filed: July 22, 2021
    Date of Patent: February 4, 2025
    Assignee: NAVER Corporation
    Inventors: Keunjun Choi, Hyoshin Myung, Mihyun Ko, Jinwon Pyo, Jaesung Oh, Taeyoon Lee, Changwoo Park, Hoji Lee, SungPyo Lee
  • METHOD, COMPUTER SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE RECORD MEDIUM FOR LEARNING ROBOT SKILL
    Publication number: 20250010466
    Abstract: Example embodiments are directed to a robotic painting method performed using a computer system. The computer system comprises at least one processor configured to execute computer-readable instructions included in a memory. The robotic painting method include collecting, by the at least one processor, stroke-level action data for a painting action; and learning, by the at least one processor, a stroke-level robotic painting skill using the stroke-level action data.
    Type: Application
    Filed: September 13, 2024
    Publication date: January 9, 2025
    Applicant: NAVER CORPORATION
    Inventors: Taeyoon LEE, Choongin LEE, Changwoo PARK, Keunjun CHOI, Donghyeon SEONG, Gyeongyeon CHOI, Younghyo PARK, Seunghun JEON
  • METHOD FOR LEARNING ROBOT TASK AND ROBOT SYSTEM USING THE SAME
    Publication number: 20220032451
    Abstract: The present invention relates to methods for learning a robot task and robots systems using the same. A robot system may include a robot configured to perform a task, and detect force information related to the task, a haptic controller configured to be manipulatable for teaching the robot, the haptic controller configured to output a haptic feedback based on the force information while teaching of the task to the robot is performed, a sensor configured to sense first information related to a task environment of the robot and second information related to a driving state of the robot, while the teaching is performed by the haptic controller for outputting the haptic feedback, and a computer configured to learn a motion of the robot related to the task, by using the first information and the second information, such that the robot autonomously performs the task.
    Type: Application
    Filed: July 22, 2021
    Publication date: February 3, 2022
    Applicant: NAVER LABS CORPORATION
    Inventors: Keunjun CHOI, Hyoshin MYUNG, Mihyun KO, Jinwon PYO, Jaesung OH, Taeyoon LEE, Changwoo PARK, Hoji LEE, SungPyo LEE