Patents by Inventor Jochen Steil

Jochen Steil 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).

  • 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
  • Adaptive Scene Dependent Filters In Online Learning Environments
    Publication number: 20070147678
    Abstract: A method and a system for determining an object segment in an electronic image. Preferably the method or system is sufficiently fast to allow real-time processing. A method for determining an object segment in an electronic image may comprise the steps of unsupervised learning of a multi-feature segmentation and of forming a relevance map. The method may further comprise the step of estimating the probability of a segment belonging to an object by the overlap of the segment and the relevance map in the electronic image.
    Type: Application
    Filed: December 13, 2006
    Publication date: June 28, 2007
    Inventors: Michael Gotting, Heiko Wersing, Jochen Steil