IAS

Results: 4542



#Item
121

Affordance Prediction via Learned Object Attributes Tucker Hermans James M. Rehg Abstract— We present a novel method for learning and

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Source URL: www.ias.tu-darmstadt.de

- Date: 2014-04-03 12:42:53
    122

    Learning Sequential Skills for Robot Manipulation Tasks Lernen von sequentiellen Fähigkeiten für Roboter-Manipulationsaufgaben Master-Thesis von B.Sc. Simon Manschitz Januar 2014

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    Source URL: www.ias.tu-darmstadt.de

    - Date: 2014-01-29 17:23:54
      123

      Combination of Movement Primitives for Robotics Kombination von Movement Primitives in der Robotik Master-Thesis von Johannes Ringwald aus Mannheim July 21, 2014

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      Source URL: www.ias.tu-darmstadt.de

      - Date: 2014-09-30 03:10:17
        124

        Model Learning with Local Gaussian Process Regression Duy Nguyen-Tuong Matthias Seeger Jan Peters

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        Source URL: www.ias.tu-darmstadt.de

        - Date: 2012-02-21 11:46:33
          125

          Playing Tetherball with Compliant Robots Hany Abdulsamad Tom Buchholz Tobias Croon

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          Source URL: www.ias.informatik.tu-darmstadt.de

          - Date: 2014-10-06 05:53:35
            126

            A Non-Parametric Approach to Dynamic Programming Oliver B. Kroemer1,2 1 Jan Peters1,2

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            Source URL: www.ias.informatik.tu-darmstadt.de

            - Date: 2012-02-21 11:46:28
              127

              Balancing Safety and Exploitability in Opponent Modeling Zhikun Wang, Abdeslam Boularias, Katharina Mülling, Jan Peters Max Planck Institute for Intelligent Systems Spemannstr 38, 72076 Tübingen, Germany {firstname.las

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              Source URL: www.ias.tu-darmstadt.de

              - Date: 2012-02-21 11:46:34
                128

                Model-based Imitation Learning by Probabilistic Trajectory Matching Master-Thesis von Peter Englert Februar 2013

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                Source URL: www.ias.informatik.tu-darmstadt.de

                - Date: 2013-03-25 14:42:18
                  129

                  Predicting Object Interactions from Contact Distributions Oliver Kroemer1 and Jan Peters1,2 Abstract— Contacts between objects play an important role in manipulation tasks. Depending on the locations of contacts, diffe

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                  Source URL: www.ias.tu-darmstadt.de

                  - Date: 2014-06-23 07:24:52
                    130

                    Probabilistic Model-based Imitation Learning Peter Englert1 , Alexandros Paraschos1 , Jan Peters1,2 , and Marc Peter Deisenroth1 1 Department of Computer Science, Technische Universit¨at Darmstadt, Germany. 2

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                    Source URL: www.ias.tu-darmstadt.de

                    - Date: 2013-05-08 18:45:52
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