T. Faeulhammer, Autonomous Learning of Object Models on a Mobile Robot, IEEE Robotics and Automation Letters, vol.2, issue.1, pp.1-1, 2016.
DOI : 10.1109/LRA.2016.2522086

A. Kilgarriff and C. Fellbaum, WordNet: An Electronic Lexical Database, Language, vol.76, issue.3, 2000.
DOI : 10.2307/417141

O. Russakovsky, ImageNet Large Scale Visual Recognition Challenge, International Journal of Computer Vision, vol.1010, issue.1, pp.211-252, 2015.
DOI : 10.1007/978-3-642-15555-0_11

A. Krizhevsky, ImageNet classification with deep convolutional neural networks, Advances in Neural Information Processing Systems, pp.1097-1105, 2012.
DOI : 10.1162/neco.2009.10-08-881

Z. Wu and M. Palmer, Verbs semantics and lexical selection, Proceedings of the 32nd annual meeting on Association for Computational Linguistics -, pp.133-138, 1994.
DOI : 10.3115/981732.981751

J. Camacho-collados, NASARI: a Novel Approach to a Semantically-Aware Representation of Items, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.567-577, 2015.
DOI : 10.3115/v1/N15-1059

R. Ambru¸sambru¸s, Meta-rooms: Building and maintaining long term spatial models in a dynamic world, IEEERSJ International Conference on Intelligent Robots and Systems. IEEE, pp.1854-1861, 2014.

J. Young, Towards lifelong object learning by integrating situated robot perception and semantic web mining, Proceedings of the European Conference on Artificial Intelligence (ECAI), 2016.
URL : https://hal.archives-ouvertes.fr/hal-01370140

J. Young, Semantic web-mining and deep vision for lifelong object discovery, 2017 IEEE International Conference on Robotics and Automation (ICRA), 2017.
DOI : 10.1109/ICRA.2017.7989323

URL : https://hal.archives-ouvertes.fr/hal-01524902

S. Vasudevan and R. Siegwart, Bayesian space conceptualization and place classification for semantic maps in mobile robotics, Robotics and Autonomous Systems, vol.56, issue.6, pp.522-537, 2008.
DOI : 10.1016/j.robot.2008.03.005

. Vasudevan and . Shrihari, Cognitive maps for mobile robots???an object based approach, Robotics and Autonomous Systems, vol.55, issue.5, pp.359-371, 2007.
DOI : 10.1016/j.robot.2006.12.008

A. Pronobis and P. Jensfelt, Large-scale semantic mapping and reasoning with heterogeneous modalities, 2012 IEEE International Conference on Robotics and Automation, 2012.
DOI : 10.1109/ICRA.2012.6224637

I. Kostavelis and A. Gasteratos, Semantic mapping for mobile robotics tasks: A survey, Robotics and Autonomous Systems, vol.66, pp.86-103, 2015.
DOI : 10.1016/j.robot.2014.12.006

H. Zender, Conceptual spatial representations for indoor mobile robots, Robotics and Autonomous Systems, vol.56, issue.6, pp.493-502, 2008.
DOI : 10.1016/j.robot.2008.03.007

M. Hanheide, Dora, a robot exploiting probabilistic knowledge under uncertain sensing for efficient object search, Proceedings of Systems Demonstration of the 21st International Conference on Automated Planning and Scheduling (ICAPS), 2011.

E. Potapova, Attention-driven object detection and segmentation of cluttered table scenes using 2.5 d symmetry, Robotics and Automation (ICRA), 2014 IEEE International Conference on, pp.4946-4952, 2014.

. He and . Kaiming, Deep Residual Learning for Image Recognition, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.770-778, 2016.
DOI : 10.1109/CVPR.2016.90