Patents by Inventor Yalun WEN

Yalun WEN 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).

  • Patent number: 12145268
    Abstract: A controller for an inverse optimal control approach robot may control movement of a robot body toward a human target along a trajectory according to a cost function. The cost function may include many terms. A first term may be associated with a duration of the trajectory for the robot. A second term may be associated with a social force and a final distance between the robot and the human target. A third term may be associated with a lateral acceleration for the robot. A fourth term may be associated with an angular acceleration for the robot. A fifth term may be associated with a longitudinal acceleration for the robot. A sixth term may be associated with a reduction of centrifugal force applied to the robot body.
    Type: Grant
    Filed: December 7, 2021
    Date of Patent: November 19, 2024
    Assignee: HONDA MOTOR CO., LTD.
    Inventors: Xingwei Wu, Yalun Wen, Katsu Yamane
  • Publication number: 20230091806
    Abstract: A controller for an inverse optimal control approach robot may control movement of a robot body toward a human target along a trajectory according to a cost function. The cost function may include may terms. A first term may be associated with a duration of the trajectory for the robot. A second term may be associated with a social force and a final distance between the robot and the human target. A third term may be associated with a lateral acceleration for the robot. A fourth term may be associated with an angular acceleration for the robot. A fifth term may be associated with a longitudinal acceleration for the robot. A sixth term may be associated with a reduction of centrifugal force applied to the robot body.
    Type: Application
    Filed: December 7, 2021
    Publication date: March 23, 2023
    Inventors: Xingwei WU, Yalun WEN, Katsu YAMANE