Publications Freek Stulp


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Movement Segmentation using a Primitive Library
Franziska Meier, Evangelos Theodorou, Freek Stulp, and Stefan Schaal. Movement Segmentation using a Primitive Library. In International Conference on Intelligent Robots and Systems (IROS), 2011.
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Abstract
Segmenting complex movements into a sequence of primitives remains a difficult problem with many applications in the robotics and vision communities. In this work, we show how the movement segmentation problem can be reduced to a sequential movement recognition problem. To this end, we reformulate the original Dynamic Movement Primitive (DMP) formulation as a linear dynamical system with control inputs. Based on this new formulation, we develop an Expectation-Maximization algorithm to estimate the duration and goal position of a partially observed trajectory. With the help of this algorithm and the assumption that a library of movement primitives is present, we present a movement segmentation framework. We illustrate the usefulness of the new DMP formulation on the two applications of online movement recognition and movement segmentation.
BibTeX
@InProceedings{meier11movement,
  title                    = {Movement Segmentation using a Primitive Library},
  author                   = {Franziska Meier and Evangelos Theodorou and Freek Stulp and Stefan Schaal},
  booktitle                = {International Conference on Intelligent Robots and Systems (IROS)},
  year                     = {2011},
  abstract                 = {Segmenting complex movements into a sequence of primitives remains a difficult problem with many applications in the robotics and vision communities. In this work, we show how the movement segmentation problem can be reduced to a sequential movement recognition problem. To this end, we reformulate the original Dynamic Movement Primitive (DMP) formulation as a linear dynamical system with control inputs. Based on this new formulation, we develop an Expectation-Maximization algorithm to estimate the duration and goal position of a partially observed trajectory. With the help of this algorithm and the assumption that a library of movement primitives is present, we present a movement segmentation framework. We illustrate the usefulness of the new DMP formulation on the two applications of online movement recognition and movement segmentation.},
  bib2html_accrate         = {32\%},
  bib2html_pubtype         = {Refereed Conference Paper},
  bib2html_rescat          = {Optimizing the Execution of Symbolic Robot Plans}
}

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