Category Archives: Research

New research topics and projects will be published in this category.

  • RO-MAN 2014

    Posted on September 11, 2014 by admin in News Report, Research.

    From august 25-29, 2014 we participated on the International Symposium on Robot and Human Interactive Communication in Edinburgh, Scotland. Furthermore, we presented current results of using Dynamic Mode Decomposition for machine learning in human robot interaction. Here is a brief description: In many settings, e.g. physical human-robot interaction, robotic behavior must be made robust against […]

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  • IVA 2014

    Posted on September 11, 2014 by admin in News Report, Research.

    Following our Learning Interaction Models project we adopted the framework for live user motion classification. The related paper (“A Data-Driven Method for Real-Time Character Animation in Human-Agent Interaction”) can be found here Here is a brief description: We address the problem of creating believable animations for virtual humans that need to react to the body […]

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  • Learning Task-Space two-person Interaction Models

    Posted on August 29, 2013 by admin in Research.

    Update: The related paper has been successfully published in Journal of Virtual Reality and Broadcastings (link). We are developing a new method to enable humanoid robots to react to a human interaction partner in a similar manner as demonstrated in prior interactions between two humans. In the training phase, motion capture data of two human […]

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    Cooperative Human-Robot Tasks

    Posted on August 29, 2013 by admin in Research.

    In many cooperative tasks between a human and a robotic assistant, the human guides the robot by exerting forces, either through direct physical interaction or indirectly via a jointly manipulated object. These physical forces perturb the robot’s behavior execution and need to be compensated for in order to successfully complete such tasks. Typically, this problem […]

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  • Nao Remote Control

    Posted on June 8, 2012 by vogt3 in Research.

    This project is dedicated to the development of a universal remote control for a Nao robot. At the current development state the framework utilizes the iPad’s internal accelerometer to calculate the robot’s walking, turning and gaze direction. Real-time user feedback is created and Nao’s current field of view is visualized in a live video stream.  […]

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  • Visual Bootstrapping

    Posted on June 8, 2012 by vogt3 in Research.

    Stability maps are a novel approach of teaching dynamic motor skills to humanoid robots through imitation.  Essentially, the algorithm calculates a low-dimensional map of a shown motion storing the stability information of each pose. Additionally, variations of such are calculated and integrated into the map as well.  In a physics simulation the stability of shown and […]

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  • Kinesthetic Bootstrapping

    Posted on June 8, 2012 by vogt3 in Research.

    This project is aims on a  a physics based simulator that allows kinesthetic interactions between a human and a robot to be recorded, and later used for imitation learning. We argue that kinesthetic interaction can be a very important tool for programming robots, if properly supported by a simulation engine. For this, we proposed a new scheme […]

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  • Learning Interaction Models

    Posted on June 8, 2012 by vogt3 in Research.

    Within this project our focus is on teaching human-like interactions to humanoid robots. We aim at learning complex interactions and have a Nao robot repeat those with a person or possibly another humanoid robot. Since humans tend to have a low repetitive accuracy when repeating motions, generalizing capabilities must be integrated. Therefore, we implemented a […]

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