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76

David Filliat


Je suis professeur dans l'équipe Robotique et Vision de l'Unité Informatique et Ingénierie des Systèmes à l'ENSTA ParisTech. Je suis aussi membre de l'équipe INRIA/ENSTA ParisTech FLOWERS.

Mes recherches portent sur la robotique cognitive et plus particulièrement l'approche développementale de la robotique. Mon objectif est de développer des méthodes pour simplifier et rendre plus robuste l'utilisation de robots dans la vie courante et d'augmenter leur autonomie. Je m'intéresse plus particulièrement à la navigation sémantique et basée sur la vision, la perception multi-modale, l'apprentissage social et non supervisé et leurs applications aux robots humanoïdes et mobiles.


Article dans une revue13 documents

  • Yuxin Chen, Jean-Baptiste Bordes, David Filliat. Comparison studies on active cross-situational object-word learning using Non-Negative Matrix Factorization and Latent Dirichlet Allocation. IEEE Transactions on Cognitive and Developmental Systems, Institute of Electrical and Electronics Engineers, Inc, 2017, 〈10.1109/TCDS.2017.2725304〉. 〈hal-01561168〉
  • Olivier Mangin, David Filliat, Louis Ten Bosch, Pierre-Yves Oudeyer. MCA-NMF: Multimodal Concept Acquisition with Non-Negative Matrix Factorization. PLoS ONE, Public Library of Science, 2015, 10 (10), pp.e0140732. 〈http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0140732〉. 〈10.1371/journal.pone.0140732.t005〉. 〈hal-01137529v3〉
  • Natalia Lyubova, Serena Ivaldi, David Filliat. From passive to interactive object learning and recognition through self-identification on a humanoid robot. Autonomous Robots, Springer Verlag, 2015, pp.23. 〈10.1007/s10514-015-9445-0〉. 〈hal-01166110〉
  • Stéphane Bazeille, Emmanuel Battesti, David Filliat. A Light Visual Mapping and Navigation Framework for Low-Cost Robots. Journal of Intelligent Systems, 2015, pp.27. 〈10.1515/jisys-2014-0116〉. 〈hal-01122633〉
  • Xavier Lagorce, Cédric Meyer, Sio-Hoi Ieng, David Filliat, Ryad Benosman. Asynchronous Event-Based Multikernel Algorithm for High-Speed Visual Features Tracking. IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2014, pp.1-12. 〈10.1109/TNNLS.2014.2352401〉. 〈hal-01069808〉
  • Pierre Rouanet, Pierre-Yves Oudeyer, Fabien Danieau, David Filliat. The Impact of Human-Robot Interfaces on the Learning of Visual Objects. IEEE Transactions on Robotics, IEEE, 2013, 29 (2), pp.525-541. 〈10.1109/TRO.2012.2228134〉. 〈hal-00758241〉
  • Serena Ivaldi, Sao Mai Nguyen, Natalia Lyubova, Alain Droniou, Vincent Padois, et al.. Object learning through active exploration. IEEE Transactions on Autonomous Mental Development, IEEE, 2013, pp.1-18. 〈10.1109/TAMD.2013.2280614〉. 〈hal-00919694〉
  • Stéphane Bazeille, David Filliat. Combining Odometry and Visual Loop-Closure Detection for Consistent Topo-Metrical Mapping. RAIRO - Operations Research, EDP Sciences, 2010, 44 (4), pp.365-377. 〈hal-00652604〉
  • Adrien Angeli, David Filliat, Stéphane Doncieux, Jean-Arcady Meyer. A Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words. IEEE Transactions on Robotics, IEEE, 2008, pp.1027 - 1037. 〈10.1109/TRO.2008.2004514〉. 〈hal-00652598〉
  • Benoît Girard, David Filliat, Jean-Arcady Meyer, Alain Berthoz, Agnès Guillot. Integration of navigation and action selection functionalities in a computational model of cortico-basal ganglia-thalamo-cortical loops. Adaptive Behavior, SAGE Publications, 2005, 13 (2), pp.115-130. 〈10.1177/105971230501300204〉. 〈hal-00016389〉
  • David Filliat, Jean-Arcady Meyer. Map-based navigation in mobile robots - I. A review of localisation strategies. Journal of Cognitive Systems Research, 2003, 4 (4), pp.243--282. 〈10.1016/S1389-0417(03)00008-1〉. 〈hal-00655473〉
  • Jean-Arcady Meyer, David Filliat. Map-based navigation in Mobile robots - II. A review of map-learning and path-planing strategies. Journal of Cognitive Systems Research, 2003, 4 (4), pp.283--317. 〈10.1016/S1389-0417(03)00007-X〉. 〈hal-00655472〉
  • David Filliat, J. Kodjabachian, J.-A. Meyer. Evolution of neural controllers for locomotion and obstacle-avoidance in a 6-legged robot. Connection Science, Taylor & Francis, 1999, 11, pp.223--240. 〈hal-01021228〉

Communication dans un congrès57 documents

  • José Mendes Filho, Eric Lucet, David Filliat. Real-Time Distributed Receding Horizon Motion Planning and Control for Mobile Multi-Robot Dynamic Systems. ICRA 2017 - IEEE International Conference on Robotics and Automation , May 2017, Singapore, Singapore. Proceedings of the International Conference on Robotics and Automation. 〈hal-01530977〉
  • Adina Panchea, Alexandre Chapoutot, David Filliat. BoxRRT* -A Reliable Motion Planner. 10th Summer Workshop on Interval Methods, and 3rd International Symposium on Set Membership - Applications, Reliability and Theory, Jun 2017, Manchester, United Kingdom. 〈http://www.aerospace.manchester.ac.uk/our-research/ukim/news-and-events/swim-smart-2017/〉. 〈hal-01574921〉
  • Adina Panchea, Alexandre Chapoutot, David Filliat. Extended Reliable Robust Motion Planners. 56th IEEE Conference on Decision and Control, Dec 2017, Melbourne, Australia. IEEE, 2017, 〈http://cdc2017.ieeecss.org〉. 〈hal-01493576〉
  • Clément Pinard, Laure Chevalley, Antoine Manzanera, David Filliat. End-to-end depth from motion with stabilized monocular videos. International Conference on Unmanned Aerial Vehicles in Geomatics, Sep 2017, Bonn, Germany. IV-2/W3, pp.67-74, 2017, 〈10.5194/isprs-annals-IV-2-W3-67-2017〉. 〈hal-01587652〉
  • Joris Guerry, Bertrand Le Saux, David Filliat. " Look At This One " Detection sharing between modality-independent classifiers for robotic discovery of people. ECMR 2017 - European Conference on Mobile Robotics, Sep 2017, Paris, France. pp.1-6. 〈hal-01628762〉
  • Clément Pinard, Laure Chevalley, Antoine Manzanera, David Filliat. Multi range Real-time depth inference from a monocular stabilized footage using a Fully Convolutional Neural Network. European Conference on Mobile Robotics, Sep 2017, Paris, France. The European Conference on Mobile Robotics Proceedings, 2017, 〈http://ecmr2017.ensta-paristech.fr〉. 〈hal-01587658〉
  • Quentin De Smedt, Hazem Wannous, Jean-Philippe Vandeborre, Joris Guerry, Bertrand Le Saux, et al.. SHREC'17 Track: 3D Hand Gesture Recognition Using a Depth and Skeletal Dataset. I. Pratikakis; F. Dupont; M. Ovsjanikov. 10th Eurographics Workshop on 3D Object Retrieval, Apr 2017, Lyon, France. 2017, 〈http://liris.cnrs.fr/eg3dor2017/〉. 〈10.2312/3dor.20171049〉. 〈hal-01563505〉
  • Adrien Matricon, David Filliat, Pierre-Yves Oudeyer. An Iterative Algorithm for Forward-Parameterized Skill Discovery. ICDL EPIROB 2016, Sep 2016, Cergy-Pontoise, France. Proceedings of the The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics. 〈http://www.icdl-epirob.org/〉. 〈hal-01370820〉
  • Céline Craye, David Filliat, Jean-François Goudou. On the Use of Intrinsic Motivation for Visual Saliency Learning. ICDL EPIROB 16, Sep 2016, Cergy-Pontoise, France. Proceedings of the The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics. 〈hal-01370850〉
  • Joris Guerry, Bertrand Le Saux, David Filliat. Sélection d'algorithmes de classification par réseau de neurones. RFIA 2016, Jun 2016, CLERMONT-FERRAND, France. 〈hal-01354102〉
  • Alexandre Armand, David Filliat, Javier Ibañez-Guzman. A Bayesian Framework for Preventive Assistance at Road Intersections. 2016 IEEE Intelligent Vehicles Symposium (IV'16), Jun 2016, Göteborg, Sweden. Proceedings of the 2016 IEEE Intelligent Vehicles Symposium. 〈hal-01319046〉
  • Céline Craye, David Filliat, Jean-François Goudou. RL-IAC: An Exploration Policy for Online Saliency Learning on an Autonomous Mobile Robot. IROS, Oct 2016, Daejeon, South Korea. Proceeding of the IEEE/RSJ International Conference on Intelligent Robots and Systems. 〈http://iros2016.org/〉. 〈hal-01392947v2〉
  • Céline Craye, David Filliat, Jean-François Goudou. Environment Exploration for Object-Based Visual Saliency Learning. ICRA 2016, May 2016, Stockholm, Sweden. Proceedings of the International Conference on Robotics and Automation. 〈hal-01289159〉
  • Yuxin Chen, Jean-Baptiste Bordes, David Filliat. An experimental comparison between NMF and LDA for active cross-situational object-word learning. ICDL EPIROB 2016, Sep 2016, Cergy-Pontoise, France. Proceedings of the The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL EPIROB 2016). 〈http://www.icdl-epirob.org/〉. 〈hal-01370853〉
  • Céline Craye, David Filliat, Jean-François Goudou. Exploration Strategies for Incremental Learning of Object-Based Visual Saliency. ICDL-EPIROB, Aug 2015, Providence, United States. 〈hal-01170532〉
  • Yuxin Chen, David Filliat. Cross-situational noun and adjective learning in an interactive scenario. ICDL-Epirob, Aug 2015, Providence, United States. Proceedings of the 2015 Joint IEEE International Conferences on Development and Learning and Epigenetic Robotics (ICDL-Epirob). 〈hal-01170674〉
  • Céline Craye, David Filliat, Jean-François Goudou. Apprentissage incrémental de la saillance visuelle pour des applications robotique. Journées francophones des jeunes chercheurs en vision par ordinateur, Jun 2015, Amiens, France. 〈hal-01161848〉
  • Amit Kumar Pandey, Rodolphe Gelin, Rachid Alami, Renaud Viry, Axel Buendia, et al.. Romeo2 Project: Humanoid Robot Assistant and Companion for Everyday Life: I. Situation Assessment for Social Intelligence. International Workshop on Artificial Intelligence and Cognition, 2nd Edition, Nov 2014, Torino, Italy. CEUR Workshop Proceedings (CEUR-WS.org), 1315, pp.140-147, 2014, Proceedings of the Second International Workshop on Artificial Intelligence and Cognition (AIC 2014). 〈hal-01096094〉
  • Alexandre Armand, David Filliat, Javier Ibañez-Guzmán. A Framework for Proactive Assistance: Summary. System Engineering Human-Centered Intelligent Vehicles, Workshop of the IEEE International Conference on System, Man and Cybernetics, Oct 2014, San Diego, United States. 〈hal-01072784〉
  • Guillaume Duceux, David Filliat. Unsupervised and online non-stationary obstacle discovery and modeling using a laser range finder. IROS 2014, Sep 2014, United States. 7 p., 2014. 〈hal-01061406〉
  • Louis-Charles Caron, David Filliat, Alexander Gepperth. Neural Network Fusion of Color, Depth and Location for Object Instance Recognition on a Mobile Robot. Second Workshop on Assistive Computer Vision and Robotics (ACVR), in conjunction with European Conference on Computer Vision, Sep 2014, Zurich, Switzerland. 〈hal-01087392〉
  • Alexandre Armand, David Filliat, Javier Ibañez-Guzman. Ontology-Based Context Awareness for Driving Assistance Systems. IV'14, Jun 2014, United States. pp.1-6, 2014. 〈hal-01012078〉
  • Louis-Charles Caron, Yang Song, David Filliat, Alexander Gepperth. Neural network based 2D/3D fusion for robotic object recognition. ESANN, May 2014, Bruges, Belgium. pp.127 - 132, 2014. 〈hal-01012090〉
  • Natalya Lyubova, Serena Ivaldi, David Filliat. Developmental object learning through manipulation and human demonstration. ICRA Mobile Manipulation Workshop on Interactive Perception, 2013, Germany. 2013. 〈hal-00839519〉
  • Alexandre Armand, David Filliat, Javier Ibanez-Guzman. Detection of Unusual Behaviours for Estimation of Context Awareness at Road Intersections. 5th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Nov 2013, Tokyo, Japan. pp.313-318, Proceedings of the 5th Workshop on Planning, Perception and Navigation for Intelligent Vehicles. 〈hal-01215563〉
  • Alexandre Armand, David Filliat, Javier Ibanez-Guzman. Modelling Stop Intersection Approaches using Gaussian Processes. ITSC, Oct 2013, Netherlands. 2013, 〈10.1109/ITSC.2013.6728466〉. 〈hal-00919680〉
  • David Filliat. Software architecture of the PACOM project. CAR, Jun 2013, France. 2013. 〈hal-00839518〉
  • Sao Mai Nguyen, Serena Ivaldi, Natalia Lyubova, Alain Droniou, Damien Gerardeaux-Viret, et al.. Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot. ICDL-EPIROB, Aug 2013, Japan. pp.1--8, 2013, 〈10.1109/DevLrn.2013.6652525〉. 〈hal-00919674〉
  • Natalia Lyubova, David Filliat, Serena Ivaldi. Improving object learning through manipulation and robot self-identification. ROBIO, Dec 2013, China. 2013, 〈10.1109/ROBIO.2013.6739655〉. 〈hal-00919649〉
  • Alexandre Chapoulie, Patrick Rives, David Filliat. Appearance-based segmentation of indoors/outdoors sequences of spherical views. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'2013, Nov 2013, Tokyo, Japan. pp.1946-1951, 2013. 〈hal-00845450〉
  • Mathieu Dubois, Paola Rozo, Alexander Gepperth, Fabio González O., David Filliat. A Comparison of Geometric and Energy-Based Point Cloud Semantic Segmentation Methods. ECMR'13 - 6th European Conference on Mobile Robotics, Sep 2013, Barcelona, Spain. pp.88-93, 2013, Proceedings of the 6th European Conference on Mobile Robotics (ECMR). 〈10.1109/ECMR.2013.6698825〉. 〈hal-00963863〉
  • Alexandre Chapoulie, Patrick Rives, David Filliat. Topological segmentation of indoors/outdoors sequences of spherical views. IEEE Conference on Intelligent Robots and Systems, IROS'12, Oct 2012, Vilamoura, Spain. pp.4288-4295, 2012. 〈hal-00752909〉
  • Natalya Lyubova, David Filliat. Developmental Approach for Interactive Object Discovery. Neural Networks (IJCNN), The 2012 International Joint Conference on, Jun 2012, Australia. pp.1-7, 2012, 〈10.1109/IJCNN.2012.6252606〉. 〈hal-00755298〉
  • David Filliat, Emmanuel Battesti, Stéphane Bazeille, Guillaume Duceux, Alexander Gepperth, et al.. RGBD object recognition and visual texture classification for indoor semantic mapping. Technologies for Practical Robot Applications (TePRA), 2012 IEEE International Conference on, Apr 2012, United States. pp.127 - 132, 2012, 〈10.1109/TePRA.2012.6215666〉. 〈hal-00755295〉
  • Natalya Lyubova, David Filliat. Developmental Learning for Object Perception. CogSys2012 Workshop on Deep Hierarchies in Vision, Feb 2012, Austria. 2012. 〈hal-00755300〉
  • Serena Ivaldi, Natalya Lyubova, Damien Gérardeaux-Viret, Alain Droniou, Salvatore Anzalone, et al.. Perception and human interaction for developmental learning of objects and affordances. Proc. of the 12th IEEE-RAS International Conference on Humanoid Robots - HUMANOIDS, Nov 2012, Japan. 2012, 〈10.1109/HUMANOIDS.2012.6651528〉. 〈hal-00755297〉
  • Jean-Christophe Baillie, Akim Demaille, Guillaume Duceux, David Filliat, Quentin Hocquet, et al.. Software architecture for an exploration robot based on Urbi. 6th National Conference on Control Architectures of Robots, May 2011, Grenoble, France. 12 p., 2011. 〈inria-00599674〉
  • Islem Jebari, Stéphane Bazeille, Emmanuel Battesti, Hassène Tekaya, Markus Klein, et al.. Multi-sensor semantic mapping and exploration of indoor environments. 3rd International Conference on Technologies for Practical Robot Applications (TePRA), 2011, United States. pp.151 - 156, 2011, 〈10.1109/TEPRA.2011.5753498〉. 〈hal-00652471〉
  • Emmanuel Battesti, Stéphane Bazeille, David Filliat. Qualitative localization using vision and odometry for path following in topo-metric maps. European Conference on Mobile Robotics (ECMR), 2011, Sweden. pp.303-308, 2011. 〈hal-00652479〉
  • Stéphane Bazeille, David Filliat. Incremental topo-metric SLAM using vision and robot odometry. Proceedings of the International Conference on Robotics and Automation (ICRA), 2011, China. pp.4067 - 4073, 2011, 〈10.1109/ICRA.2011.5979908〉. 〈hal-00652464〉
  • Islem Jebari, Stéphane Bazeille, David Filliat. Combined Vision and Frontier-Based Exploration Strategies for Semantic Mapping. 3rd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2011), 2011, China. pp.237-244, 2011, 〈10.1007/978-3-642-25992-0_34〉. 〈hal-00741266〉
  • Pierre Rouanet, Pierre-Yves Oudeyer, David Filliat. A Study of three Interfaces allowing Non-expert Users to Teach New Visual Objects to a Robot and their Impact on Learning Efficiency. HRI 2010 Conference, 2010, Osaka, Japan. 2010. 〈inria-00541794〉
  • Olivier Mangin, Pierre-Yves Oudeyer, David Filliat. A bag-of-features framework for incremental learning of speech invariants in unsegmented audio streams. Tenth International Conference on Epigenetic Robotics, 2010, Örenäs Slott, Sweden. 2010. 〈inria-00541802〉
  • Pierre Rouanet, Pierre-Yves Oudeyer, David Filliat. Using mediator objects to easily and robustly teach visual objects to a robot.. ACM SIGGRAPH'2010 Poster, 2010, Los Angeles, United States. 2010. 〈inria-00541798〉
  • Adrien Angeli, Stéphane Doncieux, Jean-Arcady Meyer, David Filliat. Visual topological SLAM and global localization. International Conference on Robotics and Automation (ICRA), 2009, Japan. pp.4300 - 4305, 2009, 〈10.1109/ROBOT.2009.5152501〉. 〈hal-00652601〉
  • Pierre-Yves Oudeyer, Pierre Rouanet, David Filliat. An integrated system for teaching new visually grounded words to a robot for non-expert users using a mobile device. IEEE-RAS International Conference on Humanoid Robots, 2009, Tsukuba, Japan. 2009. 〈inria-00420249〉
  • Pierre Rouanet, Pierre-Yves Oudeyer, David Filliat. An integrated system for teaching new visually grounded words to a robot for non-expert users using a mobile device. The 9th IEEE-RAS International Conference on Humanoid Robot, Dec 2009, Paris, France. 2009. 〈inria-00438564〉
  • Stéphane Bazeille, David Filliat. Combining Odometry and Visual Loop-Closure Detection for Consistent Topo-Metrical Mapping. Conference on COGnitive systems with Interactive Sensors (COGIS2009), 2009, France. pp.1, 2009, 〈10.1051/ro/2010021〉. 〈hal-00652602〉
  • David Filliat. Interactive learning of visual topological navigation. International Conference on Intelligent Robots and Systems (IROS), 2008, France. pp.248 - 254, 2008, 〈10.1109/IROS.2008.4650681〉. 〈hal-00641356〉
  • Adrien Angeli, Stéphane Doncieux, Jean-Arcady Meyer, David Filliat. Real-Time Visual Loop-Closure Detection. International Conference on Robotics and Automation, May 2008, Pasadena, United States. pp.1842 - 1847, 2008, 〈10.1109/ROBOT.2008.4543475〉. 〈hal-00647371〉
  • Adrien Angeli, Stéphane Doncieux, Jean-Arcady Meyer, David Filliat. Incremental vision-based topological SLAM. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008. IROS 2008, Sep 2008, Nice, France. pp.1031 - 1036, 2008, 〈10.1109/IROS.2008.4650675〉. 〈hal-00647374〉
  • David Filliat. A visual bag of words method for interactive qualitative localization and mapping. International Conference on Robotics and Automation, 2007, Italy. pp.3921 - 3926, 2007, 〈10.1109/ROBOT.2007.364080〉. 〈hal-00640996〉
  • Adrien Angeli, David Filliat, Stéphane Doncieux, Jean-Arcady Meyer. 2D Simultaneous Localization And Mapping for Micro Air Vehicles. European Micro Aerial Vehicles (EMAV 2006), Jul 2006, Braunschweig, Germany. 〈hal-00655111〉
  • André Dalgalarrondo, Delphine Dufourd, David Filliat. Controlling the autonomy of a reconnaissance robot. SPIE Defense and Security 2004 Symposium. Unmanned Ground Vehicle Technology VI Conference, 2004, United States. pp.314, 2004, 〈10.1117/12.547270〉. 〈hal-00655171〉
  • Benoît Girard, David Filliat, Jean-Arcady Meyer, Alain Berthoz, Agnès Guillot. An integration of two control architectures of action selection and navigation inspired by neural circuits in the vertebrates: The basal ganglia. Bowman, H. and Labiouse, C. 8th Neural Computation and Psychology Workshop, Aug 2004, University of Kent, United Kingdom. World Scientific, Connectionist Models of Cognition and Perception II, 15, pp.72-81, 2004, Progress in Neural Processing. 〈hal-00016409〉
  • David Filliat, Benoît Girard, Agnès Guillot, Mehdi Khamassi, Loïc Lachèze, et al.. State of the artificial rat Psikharpax. Schaal, S., Ijspeert, A., Billard, A., Vijayakumar, S., Hallam, J., and Meyer, J.-A. SAB 2004 - 8th International Conference on Simulation of Adaptive Behavior, Jul 2004, Los Angeles, CA, United States. The MIT Press, From Animals to Animats 8, pp.3-12, 2004. 〈hal-00016411〉
  • David Filliat, Jean-Arcady Meyer. Global localization and topological map learning for robot navigation. Hallam, B. and Floreano, D. and Hallam, J. and Hayes, G. and Meyer, J.-A. Seventh International Conference on simulation of adaptive behavior : From Animals to Animats (SAB-2002), 2002, Edinburgh, United Kingdom. The MIT Press, pp.131--140, 2002. 〈hal-00655477〉

Chapitre d'ouvrage1 document

  • Jean-Arcady Meyer, Stéphane Doncieux, David Filliat, Agnès Guillot. Evolutionary Approaches to Neural Control of Rolling, Walking, Swimming and Flying Animats or Robots. Duro, R.J. and Santos, J. and Grana, M. Biologically Inspired Robot Behavior Engineering, Springer-Verlag, pp.1--43, 2002, 〈10.1007/978-3-7908-1775-1_1〉. 〈hal-00655476〉

Autre publication1 document

  • David Filliat. Manuel d'éducation des jeunes robots à l'usage de leurs maitres. Article de vulgarisation publié dans la revue "La Jaune et la Rouge". 2010. 〈hal-00655006〉

Pré-publication, Document de travail1 document

  • Olivier Sigaud, Clément Masson, David Filliat, Freek Stulp. Gated networks: an inventory. Unpublished manuscript, 17 pages. 2016. 〈hal-01313601〉

Thèse1 document

  • David Filliat. Cartographie et estimation globale de la position pour un robot mobile autonome. Robotique [cs.RO]. Université Pierre et Marie Curie - Paris VI, 2001. Français. 〈tel-00655469〉

HDR1 document

  • David Filliat. Navigation, perception et apprentissage pour la robotique. Robotique [cs.RO]. Université Pierre et Marie Curie - Paris VI, 2011. 〈tel-00649692〉

Cours1 document

  • David Filliat. Robotique Mobile. Engineering school. Robotique Mobile, ENSTA ParisTech, 2011, pp.175. 〈cel-00655005〉