Patents by Inventor Manuel MUEHLIG

Manuel MUEHLIG 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 improving operation of a robot
    Patent number: 10279474
    Abstract: The invention relates to a method for improving operation of at least one robot. The robot is being operated on the basis of a set of predefined actions. A method comprises generating combined actions by combining at least two actions out of a set of original actions stored in an action library. Storing the combined actions in the actions library in addition to the original actions. Applying a reinforcement learning algorithm to the set of actions stored now in the action library to learn a control policy making use of the original actions and the combined actions. And finally, operating the robot on the basis of the resulting action library.
    Type: Grant
    Filed: March 30, 2016
    Date of Patent: May 7, 2019
    Assignee: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Manuel Mühlig, Michael Gienger, Akinobu Hayashi
  • METHOD FOR IMPROVING OPERATION OF A ROBOT
    Publication number: 20160288323
    Abstract: The invention relates to a method for improving operation of at least one robot. The robot is being operated on the basis of a set of predefined actions. A method comprises generating combined actions by combining at least two actions out of a set of original actions stored in an action library. Storing the combined actions in the actions library in addition to the original actions. Applying a reinforcement learning algorithm to the set of actions stored now in the action library to learn a control policy making use of the original actions and the combined actions. And finally, operating the robot on the basis of the resulting action library.
    Type: Application
    Filed: March 30, 2016
    Publication date: October 6, 2016
    Inventors: Manuel MÜHLIG, Michael GIENGER, Akinobu HAYASHI
  • Robot with automatic selection of task-specific representations for imitation learning
    Patent number: 8571714
    Abstract: The invention proposes a method for imitation-learning of movements of a robot, wherein the robot performs the following steps: observing a movement of an entity in the robot's environment, recording the observed movement using a sensorial data stream and representing the recorded movement in a different task space representations, selecting a subset of the task space representations for the imitation learning and reproduction of the movement to be imitated.
    Type: Grant
    Filed: February 22, 2010
    Date of Patent: October 29, 2013
    Assignee: Honda Research Institute Europe GmbH
    Inventors: Michael Gienger, Manuel Muehlig, Jochen Steil
  • ROBOT WITH AUTOMATIC SELECTION OF TASK-SPECIFIC REPRESENTATIONS FOR IMITATION LEARNING
    Publication number: 20100222924
    Abstract: The invention proposes a method for imitation-learning of movements of a robot, wherein the robot performs the following steps: observing a movement of an entity in the robot's environment, recording the observed movement using a sensorial data stream and representing the recorded movement in a different task space representations, selecting a subset of the task space representations for the imitation learning and reproduction of the movement to be imitated.
    Type: Application
    Filed: February 22, 2010
    Publication date: September 2, 2010
    Applicant: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Michael GIENGER, Manuel MUEHLIG, Jochen STEIL