PERCEPTIONPublicationsRAVEL: An Annotated Corpus for Training Robots with Audiovisual Abilities
Technical Report 7709, INRIA Grenoble Rhône-Alpes, Number 7709 - July 2012 RAVEL: An Annotated Corpus for Training Robots with Audiovisual Abilities
- Xavier Alameda-Pineda
- Jordi Sanchez-Riera
- Johannes Wienke
- Vojtech Franc
- Jan Cech
- Kaustubh Kulkarni
- Antoine Deleforge
- Radu P. Horaud
Abstract
We introduce RAVEL (Robots with Audiovisual Abilities), a publicly available data set which covers examples of
Human Robot Interaction (HRI) scenarios. These scenarios are recorded using the audio-visual robot head POPEYE, equipped
with two cameras and four microphones, two of which being plugged into the ears of a dummy head. All the recordings were
performed in a standard room with no special equipment, thus providing a challenging indoor scenario. This data set
provides a basis to test and benchmark methods and algorithms for audio-visual scene analysis with the ultimate goal of
enabling robots to interact with people in the most natural way. The data acquisition setup, sensor calibration, data
annotation and data content are fully detailed. Moreover, three examples of using the recorded data are provided,
illustrating its appropriateness for carrying out a large variety of HRI experiments. The RAVEL data are
publicly available at http://ravel.humavips.eu/

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