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Providing Ground-Truth Data for the Nao Robot Platform

  • Tim Niemüller
  • Alexander Ferrein
  • Gerhard Eckel
  • David Pirro
  • Patrick Podbregar
  • Tobias Kellner
  • Christof Rath
  • Gerald Steinbauer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6556)

Abstract

Collecting ground truth-data for real-world applications is a non-trivial but very important task. In order to evaluate new algorithmic approaches or to benchmark system performance, they are inevitable. This is particularly true for robotics applications. In this paper we present our data collection for the biped humanoid robot Nao. Reflective markers were attached to Nao’s body, and the positions and orientation of its body and head were tracked in 6D with an accurate professional vision-based body motion tracking system. While doing so, the data of Nao’s internal state, i.e., the readings of all its servos, the inertial measurement unit, the force receptors plus a camera stream of the robot’s camera were stored for different, typical robotic soccer scenarios in the context of the RoboCup Standard Platform League. These data will be combined in order to compile an accurate ground-truth data set. We describe how the data were recorded, in which format they are stored, and show the usability of the logged data in some first experiments on the recorded data sets. The data sets will be made publicly available for the RoboCup’s Standard Platform League community.

Keywords

Inertial Measurement Unit Global Coordinate System Biped Robot Robot Platform Head Joint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Tim Niemüller
    • 1
  • Alexander Ferrein
    • 2
  • Gerhard Eckel
    • 3
  • David Pirro
    • 3
  • Patrick Podbregar
    • 4
  • Tobias Kellner
    • 4
  • Christof Rath
    • 4
  • Gerald Steinbauer
    • 4
  1. 1.Knowledge-based Systems GroupRWTH Aachen UniversityAachenGermany
  2. 2.Robotics and Agents Research LabUniversity of Cape TownCape TownSouth Africa
  3. 3.Institute for Electronic Music and AcousticsUniversity of Music and Performing ArtsGrazAustria
  4. 4.Institute for Software TechnologyGraz University of TechnologyGrazAustria

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