Keywords

Co-authors

Number of documents

91

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.


Journal articles17 documents

  • Céline Craye, Timothée Lesort, David Filliat, Jean-François Goudou. Exploring to learn visual saliency: The RL-IAC approach. Robotics and Autonomous Systems, Elsevier, 2019, 112, pp.244-259. ⟨hal-01959882⟩
  • 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, In press, ⟨10.1109/TCDS.2017.2725304⟩. ⟨hal-01561168⟩
  • Céline Craye, David Filliat, Jean-François Goudou. BioVision: a Biomimetics Platform for Intrinsically Motivated Visual Saliency Learning. IEEE Transactions on Cognitive and Developmental Systems, Institute of Electrical and Electronics Engineers, Inc, In press, ⟨10.1109/TCDS.2018.2806227⟩. ⟨hal-01728340⟩
  • Timothée Lesort, Natalia Díaz-Rodríguez, Jean-François Goudou, David Filliat. State Representation Learning for Control: An Overview. Neural Networks, Elsevier, 2018, 108, pp.379-392. ⟨10.1016/j.neunet.2018.07.006⟩. ⟨hal-01858558⟩
  • Stéphane Doncieux, David Filliat, Natalia Díaz-Rodríguez, Timothy Hospedales, Richard Duro, et al.. Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers in Neurorobotics, Frontiers, 2018, 12, pp.59. ⟨10.3389/fnbot.2018.00059⟩. ⟨hal-01889947⟩
  • 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⟩
  • 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⟩
  • 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⟩

Conference papers67 documents

  • Timothée Lesort, Hugo Caselles-Dupré, Michael Garcia-Ortiz, Jean-François Goudou, David Filliat. Generative Models from the perspective of Continual Learning. Workshop on Continual Learning, NeurIPS 2018 - Thirty-second Conference on Neural Information Processing Systems, Dec 2018, Montréal, Canada. ⟨hal-01951954⟩
  • Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen, Michael Garcia-Ortiz, David Filliat. Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning. Workshop on Continual Unsupervised Sensorimotor Learning, ICDL-EpiRob 2018, Sep 2018, Tokyo, Japan. ⟨hal-01951945⟩
  • Hugo Caselles-Dupré, Michael Garcia-Ortiz, David Filliat. Continual State Representation Learning for Reinforcement Learning using Generative Replay. Workshop on Continual Learning, NeurIPS 2018 - Thirty-second Conference on Neural Information Processing Systems, Dec 2018, Montréal, Canada. ⟨hal-01951399⟩
  • Natalia Díaz-Rodríguez, Vincenzo Lomonaco, David Filliat, Davide Maltoni. Don't forget, there is more than forgetting: new metrics for Continual Learning. Workshop on Continual Learning, NeurIPS 2018 (Neural Information Processing Systems, Dec 2018, Montreal, Canada. ⟨hal-01951488⟩
  • Clément Pinard, Laure Chevalley, Antoine Manzanera, David Filliat. Learning structure-from-motion from motion. ECCV GMDL Workshop, Sep 2018, Munich, Germany. ⟨hal-01995833⟩
  • José Mendes Filho, Eric Lucet, David Filliat. Experimental Validation of a Multirobot Distributed Receding Horizon Motion Planning Approach. ICARCV 2018 - 15th International Conference on Control, Automation, Robotics and Vision, Nov 2018, Singapour, Singapore. ⟨hal-01935322⟩
  • Sylvain Bertrand, Julien Marzat, Cristina Stoica Maniu, Maria Makarov, David Filliat, et al.. DroMOOC: a Massive Open Online Course on Drones and Aerial Multi Robot Systems. 2018 UKACC 12th International Conference on Control (CONTROL), Sep 2018, Sheffield, United Kingdom. ⟨10.1109/control.2018.8516765 ⟩. ⟨hal-01907122⟩
  • Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz-Rodríguez, et al.. S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning. NIPS 2018 Deep RL workshop, Dec 2018, Montreal, Canada. ⟨hal-01931713⟩
  • Panagiotis Papadakis, David Filliat. Generic Object Discrimination for Mobile Assistive Robots using Projective Light Diffusion. WACV 2018 - IEEE Winter Conference on Applications of Computer Vision, Workshop CV-AAL - Computer Vision for Active and Assisted Living, Mar 2018, Reno, United States. pp.1-9. ⟨hal-01699842⟩
  • 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⟩
  • Joris Guerry, Alexandre Boulch, Bertrand Le Saux, Julien Moras, Aurelien Plyer, et al.. SnapNet-R: Consistent 3D Multi-View Semantic Labeling for Robotics. IEEE International Conference on Computer Vision Workshop (ICCVW), Oct 2017, Venice, Italy. ⟨10.1109/ICCVW.2017.85⟩. ⟨hal-01808539⟩
  • Adina Panchea, Alexandre Chapoutot, David Filliat. Extended Reliable Robust Motion Planners. 56th IEEE Conference on Decision and Control, Dec 2017, Melbourne, Australia. ⟨10.1109/CDC.2017.8263805⟩. ⟨hal-01493576⟩
  • 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. ⟨hal-01574921⟩
  • 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. pp.67-74, ⟨10.5194/isprs-annals-IV-2-W3-67-2017⟩. ⟨hal-01587652⟩
  • 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, ENSTA ParisTech, Sep 2017, Paris, France. ⟨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. 3DOR - 10th Eurographics Workshop on 3D Object Retrieval, Apr 2017, Lyon, France. pp.1-6, ⟨10.2312/3dor.20171049⟩. ⟨hal-01563505⟩
  • 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. ⟨10.1109/ICRA.2017.7989081⟩. ⟨hal-01530977⟩
  • 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⟩
  • Céline Craye, David Filliat, Jean-François Goudou. On the Use of Intrinsic Motivation for Visual Saliency Learning. Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2016, Cergy-Pontoise, France. ⟨hal-01370850⟩
  • Yuxin Chen, Jean-Baptiste Bordes, David Filliat. An experimental comparison between NMF and LDA for active cross-situational object-word learning. Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2016, Cergy-Pontoise, France. ⟨hal-01370853⟩
  • Adrien Matricon, David Filliat, Pierre-Yves Oudeyer. An Iterative Algorithm for Forward-Parameterized Skill Discovery. Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2016, Cergy-Pontoise, France. ⟨hal-01370820⟩
  • Céline Craye, David Filliat, Jean-François Goudou. Environment Exploration for Object-Based Visual Saliency Learning. International Conference on Robotics and Automation , May 2016, Stockholm, Sweden. ⟨hal-01289159⟩
  • Céline Craye, David Filliat, Jean-François Goudou. RL-IAC: An Exploration Policy for Online Saliency Learning on an Autonomous Mobile Robot. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2016, Daejeon, South Korea. ⟨hal-01392947v2⟩
  • 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. ⟨hal-01319046⟩
  • Yuxin Chen, David Filliat. Cross-situational noun and adjective learning in an interactive scenario. Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Aug 2015, Providence, United States. ⟨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⟩
  • Céline Craye, David Filliat, Jean-François Goudou. Exploration Strategies for Incremental Learning of Object-Based Visual Saliency. Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Aug 2015, Providence, United States. ⟨hal-01170532⟩
  • Guillaume Duceux, David Filliat. Unsupervised and online non-stationary obstacle discovery and modeling using a laser range finder. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep 2014, Chicago, United States. 7 p. ⟨hal-01061406⟩
  • Louis-Charles Caron, Yang Song, David Filliat, Alexander Gepperth. Neural network based 2D/3D fusion for robotic object recognition. European Symposium on artificial neural networks (ESANN), May 2014, Bruges, Belgium. pp.127 - 132. ⟨hal-01012090⟩
  • Alexandre Armand, David Filliat, Javier Ibañez-Guzman. Ontology-Based Context Awareness for Driving Assistance Systems. IEEE Intelligent Vehicles Symposium (IV), Jun 2014, Dearborn, United States. pp.1-6. ⟨hal-01012078⟩
  • 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⟩
  • 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⟩
  • 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. pp.140-147. ⟨hal-01096094⟩
  • Mathieu Dubois, Paola Rozo, Alexander Gepperth, Fabio González O., David Filliat. A Comparison of Geometric and Energy-Based Point Cloud Semantic Segmentation Methods. 6th European Conference on Mobile Robotics (ECMR), IEEE, Sep 2013, Barcelona, Spain. pp.88-93, ⟨10.1109/ECMR.2013.6698825⟩. ⟨hal-00963863⟩
  • 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. ⟨hal-00845450⟩
  • David Filliat. Software architecture of the PACOM project. CAR, Jun 2013, France. ⟨hal-00839518⟩
  • 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. ⟨hal-01215563⟩
  • Alexandre Armand, David Filliat, Javier Ibanez-Guzman. Modelling Stop Intersection Approaches using Gaussian Processes. 16th International IEEE Conference on Intelligent Transportation Systems (ITSC), Oct 2013, The Hague, Netherlands. ⟨10.1109/ITSC.2013.6728466⟩. ⟨hal-00919680⟩
  • Natalia Lyubova, David Filliat, Serena Ivaldi. Improving object learning through manipulation and robot self-identification. IEEE International Conference on Robotics and Biomimetics (ROBIO), Dec 2013, Shenzen, China. ⟨10.1109/ROBIO.2013.6739655⟩. ⟨hal-00919649⟩
  • Natalya Lyubova, Serena Ivaldi, David Filliat. Developmental object learning through manipulation and human demonstration. ICRA Mobile Manipulation Workshop on Interactive Perception, 2013, Germany. ⟨hal-00839519⟩
  • 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. Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Aug 2013, Osaka, Japan. pp.1--8, ⟨10.1109/DevLrn.2013.6652525⟩. ⟨hal-00919674⟩
  • 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. ⟨hal-00752909⟩
  • Natalia Lyubova, David Filliat. Developmental Learning for Object Perception. CogSys2012 Workshop on Deep Hierarchies in Vision, Feb 2012, Vienne, Austria. ⟨hal-00755300⟩
  • 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, ⟨10.1109/TePRA.2012.6215666⟩. ⟨hal-00755295⟩
  • 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, ⟨10.1109/IJCNN.2012.6252606⟩. ⟨hal-00755298⟩
  • 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. ⟨10.1109/HUMANOIDS.2012.6651528⟩. ⟨hal-00755297⟩
  • 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, ⟨10.1109/ICRA.2011.5979908⟩. ⟨hal-00652464⟩
  • 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. ⟨hal-00652479⟩
  • 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, ⟨10.1007/978-3-642-25992-0_34⟩. ⟨hal-00741266⟩
  • 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, INRIA Grenoble Rhône-Alpes, May 2011, Grenoble, France. 12 p. ⟨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, ⟨10.1109/TEPRA.2011.5753498⟩. ⟨hal-00652471⟩
  • 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. ⟨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. ⟨inria-00541798⟩
  • 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. ⟨inria-00541794⟩
  • 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, ⟨10.1051/ro/2010021⟩. ⟨hal-00652602⟩
  • 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. ⟨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. ⟨inria-00438564⟩
  • 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, ⟨10.1109/ROBOT.2009.5152501⟩. ⟨hal-00652601⟩
  • David Filliat. Interactive learning of visual topological navigation. International Conference on Intelligent Robots and Systems (IROS), 2008, France. pp.248 - 254, ⟨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, ⟨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, ⟨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, ⟨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. 8th Neural Computation and Psychology Workshop, Aug 2004, University of Kent, United Kingdom. pp.72-81. ⟨hal-00016409⟩
  • David Filliat, Benoît Girard, Agnès Guillot, Mehdi Khamassi, Loïc Lachèze, et al.. State of the artificial rat Psikharpax. SAB 2004 - 8th International Conference on Simulation of Adaptive Behavior, Jul 2004, Los Angeles, CA, United States. pp.3-12. ⟨hal-00016411⟩
  • David Filliat, Jean-Arcady Meyer. Global localization and topological map learning for robot navigation. Seventh International Conference on simulation of adaptive behavior : From Animals to Animats (SAB-2002), 2002, Edinburgh, United Kingdom. pp.131--140. ⟨hal-00655477⟩

Book sections1 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.; Santos, J.; Grana, M. Biologically Inspired Robot Behavior Engineering, Springer-Verlag, pp.1--43, 2002, ⟨10.1007/978-3-7908-1775-1_1⟩. ⟨hal-00655476⟩

Other publications1 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〉

Preprints, Working Papers, ...2 documents

  • Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat. Unsupervised state representation learning with robotic priors: a robustness benchmark. 2017. ⟨hal-01644423⟩
  • Olivier Sigaud, Clément Masson, David Filliat, Freek Stulp. Gated networks: an inventory. 2016. ⟨hal-01313601⟩

Theses1 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⟩

Habilitation à diriger des recherches1 document

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

Lectures1 document

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