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RAVEL: An Annotated Corpus for Training Robots with Audiovisual Abilities

Xavier Alameda-Pineda 1 Jordi Sanchez-Riera 1 Johannes Wienke 2 Vojtech Franc 3 Jan Cech 1 Kaustubh Kulkarni 1 Antoine Deleforge 1 Radu Horaud 1 
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
3 Center for Machine Perception
Center for Machine Perception
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
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Submitted on : Wednesday, July 25, 2012 - 3:24:10 PM
Last modification on : Thursday, May 5, 2022 - 3:11:28 AM
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Xavier Alameda-Pineda, Jordi Sanchez-Riera, Johannes Wienke, Vojtech Franc, Jan Cech, et al.. RAVEL: An Annotated Corpus for Training Robots with Audiovisual Abilities. Journal on Multimodal User Interfaces, 2013, 7 (1-2), pp.79-91. ⟨10.1007/s12193-012-0111-y⟩. ⟨hal-00720734⟩



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