Principles for an Alternative Design of Movement Primitives that Uses Probabilistic Inference in Learned Graphical Models

Elmar Rückert, David Kappel, Gerhard Neumann, Marc Toussaint, Wolfgang Maass

Research output: Contribution to conferencePosterResearch

Original languageEnglish
Publication statusPublished - 2013
EventICRA 2013 - IEEE International Conference on Robotics and Automation - Karlsruhe
Duration: 6 May 201310 May 2013

Conference

ConferenceICRA 2013 - IEEE International Conference on Robotics and Automation
CityKarlsruhe
Period6/05/1310/05/13

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)

Cite this

Rückert, E., Kappel, D., Neumann, G., Toussaint, M., & Maass, W. (2013). Principles for an Alternative Design of Movement Primitives that Uses Probabilistic Inference in Learned Graphical Models. Poster session presented at ICRA 2013 - IEEE International Conference on Robotics and Automation, Karlsruhe, .

Principles for an Alternative Design of Movement Primitives that Uses Probabilistic Inference in Learned Graphical Models. / Rückert, Elmar; Kappel, David; Neumann, Gerhard; Toussaint, Marc; Maass, Wolfgang.

2013. Poster session presented at ICRA 2013 - IEEE International Conference on Robotics and Automation, Karlsruhe, .

Research output: Contribution to conferencePosterResearch

Rückert, E, Kappel, D, Neumann, G, Toussaint, M & Maass, W 2013, 'Principles for an Alternative Design of Movement Primitives that Uses Probabilistic Inference in Learned Graphical Models' ICRA 2013 - IEEE International Conference on Robotics and Automation, Karlsruhe, 6/05/13 - 10/05/13, .
Rückert E, Kappel D, Neumann G, Toussaint M, Maass W. Principles for an Alternative Design of Movement Primitives that Uses Probabilistic Inference in Learned Graphical Models. 2013. Poster session presented at ICRA 2013 - IEEE International Conference on Robotics and Automation, Karlsruhe, .
Rückert, Elmar ; Kappel, David ; Neumann, Gerhard ; Toussaint, Marc ; Maass, Wolfgang. / Principles for an Alternative Design of Movement Primitives that Uses Probabilistic Inference in Learned Graphical Models. Poster session presented at ICRA 2013 - IEEE International Conference on Robotics and Automation, Karlsruhe, .
@conference{6180b8f8166d4d7c8a1a72eb3bf2eb8e,
title = "Principles for an Alternative Design of Movement Primitives that Uses Probabilistic Inference in Learned Graphical Models",
author = "Elmar R{\"u}ckert and David Kappel and Gerhard Neumann and Marc Toussaint and Wolfgang Maass",
year = "2013",
language = "English",
note = "ICRA 2013 - IEEE International Conference on Robotics and Automation ; Conference date: 06-05-2013 Through 10-05-2013",

}

TY - CONF

T1 - Principles for an Alternative Design of Movement Primitives that Uses Probabilistic Inference in Learned Graphical Models

AU - Rückert, Elmar

AU - Kappel, David

AU - Neumann, Gerhard

AU - Toussaint, Marc

AU - Maass, Wolfgang

PY - 2013

Y1 - 2013

UR - http://www.icra2013.org/

M3 - Poster

ER -