David Filliat
Computer Science and Systems Engineering Department (U2IS)
U2IS Director
HDR
Research and education activities
My research focuses on robotics and more particularly on perception and learning problems. I am looking to develop methods to simplify and make more robust the use of robots and to increase their autonomy. I am particularly interested in:
- navigation, mapping, localization, path planning,
- learning applied to multi-modal perception and reinforcement learning,
- applications to mobile robots, UAVs and autonomous vehicles.
HAL Publications
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Robust trajectory forecasting in autonomous systems using mixtures of Student’s T-distributions with T-DistNet
Article dans une revue Published on 01/09/2025 co-written by Adrien Lafage, Gianni Franchi, Mathieu Barbier, David Filliat -
A probabilistic approach for learning and adapting shared control skills with the human in the loop
Communication dans un congrès Published on 13/05/2024 co-written by Gabriel Quere, Freek Stulp, David Filliat, Joao Silverio -
On double descent in reinforcement learning with LSTD and random features
Communication dans un congrès Published on 07/05/2024 co-written by David Brellmann, Eloïse Berthier, David Filliat, Goran Frehse -
InfraParis: A multi-modal and multi-task autonomous driving dataset
Communication dans un congrès Published on 01/01/2024 co-written by Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat -
Open the Chests: An Environment for Activity Recognition and Sequential Decision Problems Using Temporal Logic
Communication dans un congrès Published on 01/01/2024 co-written by Ivelina Stoyanova, Nicolas Museux, Sao Mai Nguyen, David Filliat -
A review of classical and learning based approaches in task and motion planning
Chapitre d'ouvrage Published on 30/11/2023 co-written by Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, Selma Kchir, David Filliat -
Fourier Features in Reinforcement Learning with Neural Networks
Article dans une revue Published on 01/10/2023 co-written by David Brellmann, David Filliat, Goran Frehse -
Navigation among movable obstacles using machine learning based total time cost optimization
Communication dans un congrès Published on 01/10/2023 co-written by Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, David Filliat -
Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions
Communication dans un congrès Published on 01/01/2023 co-written by Marwane Hariat, Antoine Manzanera, David Filliat -
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
Communication dans un congrès Published on 01/01/2023 co-written by Tom Dupuis, Jaonary Rabarisoa, Quoc-Cuong Pham, David Filliat -
Domain invariant Q-learning for model-free robust continuous control under visual distractions
Communication dans un congrès Published on 09/12/2022 co-written by Tom Dupuis, Jaonary Rabarisoa, Quoc-Cuong Pham, David Filliat -
Latent Discriminant deterministic Uncertainty
Communication dans un congrès Published on 23/10/2022 co-written by Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat -
Task and motion planning methods: applications and limitations
Communication dans un congrès Published on 14/07/2022 co-written by Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, Selma Kchir, David Filliat -
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case
Article dans une revue Published on 01/10/2021 co-written by Natalia Díaz-Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera -
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay
Communication dans un congrès Published on 18/07/2021 co-written by Hugo Caselles-Dupré, Michael Garcia-Ortiz, David Filliat -
Evaluating Robustness over High Level Driving Instruction for Autonomous Driving
Communication dans un congrès Published on 11/07/2021 co-written by Florence Carton, David Filliat, Jaonary Rabarisoa, Quoc Cuong Pham -
Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving
Communication dans un congrès Published on 09/01/2021 co-written by Florence Carton, David Filliat, Jaonary Rabarisoa, Quoc Cuong Pham -
Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences
Communication dans un congrès Published on 11/12/2020 co-written by Hugo Caselles-Dupré, Michael Garcia Ortiz, David Filliat -
RobotDrlSim: A real time robot simulation platform for reinforcement learning and human interactive demonstration learning
Communication dans un congrès Published on 22/11/2020 co-written by Te Sun, Liang Gong, Xvdong Li, Shenghan Xie, Zhaorun Chen, Qizi Hu, David Filliat -
On the Sensory Commutativity of Action Sequences for Embodied Agents
Communication dans un congrès Published on 18/07/2020 co-written by Hugo Caselles-Dupré, Michael Garcia Ortiz, David Filliat -
Trajectory Prediction of Traffic Agents: Incorporating context into machine learning approaches
Communication dans un congrès Published on 25/05/2020 co-written by Vyshakh Palli-Thazha, David Filliat, Javier Ibañez-Guzmán -
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
Pré-publication, Document de travail Published on 12/05/2020 co-written by Stephane Doncieux, Nicolas Bredeche, Léni Kenneth Le Goff, Benoît Girard, Alexandre Coninx, Olivier Sigaud, Mehdi Khamassi, Natalia Díaz-Rodríguez, David Filliat, Timothy Hospedales, Agoston E. Eiben, Richard Duro -
Demonstration Guided Actor-Critic Deep Reinforcement Learning for Fast Teaching of Robots in Dynamic Environments
Article dans une revue Published on 01/01/2020 co-written by Liang Gong, Te Sun, Xudong Li, Ke Lin, Natalia Díaz-Rodríguez, David Filliat, Zhengfeng Zhang, Junping Zhang -
DISCORL: Continual reinforcement learning via policy distillation
Communication dans un congrès Published on 14/12/2019 co-written by René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Guanghang Cai, David Filliat, Natalia Díaz-Rodríguez -
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Article dans une revue Published on 10/12/2019 co-written by Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz-Rodríguez -
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments
Communication dans un congrès Published on 08/12/2019 co-written by Hugo Caselles-Dupré, Michael Garcia-Ortiz, David Filliat -
Applying map-masks to Trajectory Prediction for Interacting Traffic-Agents
Communication dans un congrès Published on 27/10/2019 co-written by Vyshakh Palli Thazha, David Filliat, Javier Ibañez-Guzmán -
Deep unsupervised state representation learning with robotic priors: a robustness analysis
Communication dans un congrès Published on 14/07/2019 co-written by Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz-Rodríguez, David Filliat -
Generative Models from the perspective of Continual Learning
Communication dans un congrès Published on 14/07/2019 co-written by Timothée Lesort, Hugo Caselles-Dupré, Michael Garcia-Ortiz, Jean-François Goudou, David Filliat -
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer
Communication dans un congrès Published on 15/06/2019 co-written by René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Natalia Díaz-Rodríguez, David Filliat -
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
Communication dans un congrès Published on 06/05/2019 co-written by Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz-Rodríguez, David Filliat -
Exploring to learn visual saliency: The RL-IAC approach
Article dans une revue Published on 01/02/2019 co-written by Céline Craye, Timothée Lesort, David Filliat, Jean-François Goudou -
Marginal Replay vs Conditional Replay for Continual Learning
Communication dans un congrès Published on 01/01/2019 co-written by Timothée Lesort, Alexander Gepperth, Andrei Stoian, David Filliat -
Training Discriminative Models to Evaluate Generative Ones
Communication dans un congrès Published on 01/01/2019 co-written by Timothée Lesort, Andrei Stoain, Jean-François Goudou, David Filliat -
Continual State Representation Learning for Reinforcement Learning using Generative Replay
Communication dans un congrès Published on 07/12/2018 co-written by Hugo Caselles-Dupré, Michael Garcia-Ortiz, David Filliat -
Don't forget, there is more than forgetting: new metrics for Continual Learning
Communication dans un congrès Published on 07/12/2018 co-written by Natalia Díaz-Rodríguez, Vincenzo Lomonaco, David Filliat, Davide Maltoni -
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
Communication dans un congrès Published on 07/12/2018 co-written by Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz-Rodríguez, David Filliat -
State Representation Learning for Control: An Overview
Article dans une revue Published on 01/12/2018 co-written by Timothée Lesort, Natalia Díaz-Rodríguez, Jean-François Goudou, David Filliat -
DroMOOC
Poster de conférence Published on 29/11/2018 co-written by Sylvain Bertrand, Julien Marzat, Cristina Stoica Maniu, Maria Makarov, David Filliat, Antoine Manzanera -
Experimental Validation of a Multirobot Distributed Receding Horizon Motion Planning Approach
Communication dans un congrès Published on 18/11/2018 co-written by José M Mendes Filho, Eric Lucet, David Filliat -
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning
Communication dans un congrès Published on 17/09/2018 co-written by Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen, Michael Garcia-Ortiz, David Filliat -
Learning structure-from-motion from motion
Communication dans un congrès Published on 08/09/2018 co-written by Clément Pinard, Laure Chevalley, Antoine Manzanera, David Filliat -
DroMOOC: a Massive Open Online Course on Drones and Aerial Multi Robot Systems
Communication dans un congrès Published on 05/09/2018 co-written by Sylvain Bertrand, Julien Marzat, Cristina Stoica Maniu, Maria Makarov, David Filliat, Antoine Manzanera -
Generic Object Discrimination for Mobile Assistive Robots using Projective Light Diffusion
Communication dans un congrès Published on 15/03/2018 co-written by Panagiotis Papadakis, David Filliat -
BioVision: a Biomimetics Platform for Intrinsically Motivated Visual Saliency Learning
Article dans une revue Published on 01/01/2018 co-written by Céline Craye, David Filliat, Jean-François Goudou -
Comparison studies on active cross-situational object-word learning using Non-Negative Matrix Factorization and Latent Dirichlet Allocation
Article dans une revue Published on 01/01/2018 co-written by Yuxin Chen, Jean-Baptiste Bordes, David Filliat -
Open-Ended Learning: A Conceptual Framework Based on Representational Redescription
Article dans une revue Published on 01/01/2018 co-written by Stéphane Doncieux, David Filliat, Natalia Díaz-Rodríguez, Timothy Hospedales, Richard Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, Olivier Sigaud -
Unsupervised state representation learning with robotic priors: a robustness benchmark
Pré-publication, Document de travail Published on 22/11/2017 co-written by Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat -
SnapNet-R: Consistent 3D Multi-View Semantic Labeling for Robotics
Communication dans un congrès Published on 22/10/2017 co-written by Joris Guerry, Alexandre Boulch, Bertrand Le Saux, Julien Moras, Aurelien Plyer, David Filliat -
Look At This One " Detection sharing between modality-independent classifiers for robotic discovery of people
Communication dans un congrès Published on 06/09/2017 co-written by Joris Guerry, Bertrand Le Saux, David Filliat -
BoxRRT* -A Reliable Motion Planner
Communication dans un congrès Published on 14/06/2017 co-written by Adina M Panchea, Alexandre Chapoutot, David Filliat -
Real-Time Distributed Receding Horizon Motion Planning and Control for Mobile Multi-Robot Dynamic Systems
Communication dans un congrès Published on 29/05/2017 co-written by José M Mendes Filho, Eric Lucet, David Filliat -
End-to-end depth from motion with stabilized monocular videos
Communication dans un congrès Published on 01/01/2017 co-written by Clément Pinard, Laure Chevalley, Antoine Manzanera, David Filliat -
Extended Reliable Robust Motion Planners
Communication dans un congrès Published on 01/01/2017 co-written by Adina M Panchea, Alexandre Chapoutot, David Filliat -
Multi range Real-time depth inference from a monocular stabilized footage using a Fully Convolutional Neural Network
Communication dans un congrès Published on 01/01/2017 co-written by Clément Pinard, Laure Chevalley, Antoine Manzanera, David Filliat -
SHREC'17 Track: 3D Hand Gesture Recognition Using a Depth and Skeletal Dataset
Communication dans un congrès Published on 01/01/2017 co-written by Quentin de Smedt, Hazem Wannous, Jean-Philippe Vandeborre, Joris Guerry, Bertrand Le Saux, David Filliat -
RL-IAC: An Exploration Policy for Online Saliency Learning on an Autonomous Mobile Robot
Communication dans un congrès Published on 09/10/2016 co-written by Céline Craye, David Filliat, Jean-François Goudou -
On the Use of Intrinsic Motivation for Visual Saliency Learning
Communication dans un congrès Published on 20/09/2016 co-written by Céline Craye, David Filliat, Jean-François Goudou -
An Iterative Algorithm for Forward-Parameterized Skill Discovery
Communication dans un congrès Published on 19/09/2016 co-written by Adrien Matricon, David Filliat, Pierre-Yves Oudeyer -
An experimental comparison between NMF and LDA for active cross-situational object-word learning
Communication dans un congrès Published on 19/09/2016 co-written by Yuxin Chen, Jean-Baptiste Bordes, David Filliat -
Sélection d'algorithmes de classification par réseau de neurones
Communication dans un congrès Published on 27/06/2016 co-written by Joris Guerry, Bertrand Le Saux, David Filliat -
A Bayesian Framework for Preventive Assistance at Road Intersections
Communication dans un congrès Published on 19/06/2016 co-written by Alexandre Armand, David Filliat, Javier Ibañez-Guzman -
Environment Exploration for Object-Based Visual Saliency Learning
Communication dans un congrès Published on 17/05/2016 co-written by Céline Craye, David Filliat, Jean-François Goudou -
Gated networks: an inventory
Pré-publication, Document de travail Published on 13/05/2016 co-written by Olivier Sigaud, Clément Masson, David Filliat, Freek Stulp -
MCA-NMF: Multimodal Concept Acquisition with Non-Negative Matrix Factorization
Article dans une revue Published on 21/10/2015 co-written by Olivier Mangin, David Filliat, Louis ten Bosch, Pierre-Yves Oudeyer -
Cross-situational noun and adjective learning in an interactive scenario
Communication dans un congrès Published on 13/08/2015 co-written by Yuxin Chen, David Filliat -
Exploration Strategies for Incremental Learning of Object-Based Visual Saliency
Communication dans un congrès Published on 13/08/2015 co-written by Céline Craye, David Filliat, Jean-François Goudou -
Apprentissage incrémental de la saillance visuelle pour des applications robotique
Communication dans un congrès Published on 15/06/2015 co-written by Céline Craye, David Filliat, Jean-François Goudou -
A Light Visual Mapping and Navigation Framework for Low-Cost Robots
Article dans une revue Published on 01/02/2015 co-written by Stéphane Bazeille, Emmanuel Battesti, David Filliat -
From passive to interactive object learning and recognition through self-identification on a humanoid robot
Article dans une revue Published on 01/01/2015 co-written by Natalia Lyubova, Serena Ivaldi, David Filliat -
Romeo2 Project: Humanoid Robot Assistant and Companion for Everyday Life: I. Situation Assessment for Social Intelligence
Communication dans un congrès Published on 01/11/2014 co-written by Amit Kumar Pandey, Rodolphe Gelin, Rachid Alami, Renaud Viry, Axel Buendia, Roland Meertens, Mohamed Chetouani, Laurence Devillers, Marie Tahon, David Filliat, Yves Grenier, Mounira Maazaoui, Abderrahmane Kheddar, Frédéric Lerasle, Laurent Fitte-Duval -
A Framework for Proactive Assistance: Summary
Communication dans un congrès Published on 05/10/2014 co-written by Alexandre Armand, David Filliat, Javier Ibañez-Guzmán -
Asynchronous Event-Based Multikernel Algorithm for High-Speed Visual Features Tracking
Article dans une revue Published on 16/09/2014 co-written by Xavier Lagorce, Cédric Meyer, Sio-Hoi Ieng, David Filliat, Ryad Benosman -
Unsupervised and online non-stationary obstacle discovery and modeling using a laser range finder
Communication dans un congrès Published on 15/09/2014 co-written by Guillaume Duceux, David Filliat -
Neural Network Fusion of Color, Depth and Location for Object Instance Recognition on a Mobile Robot
Communication dans un congrès Published on 12/09/2014 co-written by Louis-Charles Caron, David Filliat, Alexander Gepperth -
Neural network based 2D/3D fusion for robotic object recognition
Communication dans un congrès Published on 01/01/2014 co-written by Louis-Charles Caron, Yang Song, David Filliat, Alexander Gepperth -
Ontology-Based Context Awareness for Driving Assistance Systems
Communication dans un congrès Published on 01/01/2014 co-written by Alexandre Armand, David Filliat, Javier Ibañez-Guzman -
Detection of Unusual Behaviours for Estimation of Context Awareness at Road Intersections
Communication dans un congrès Published on 03/11/2013 co-written by Alexandre Armand, David Filliat, Javier Ibanez-Guzman -
Appearance-based segmentation of indoors/outdoors sequences of spherical views
Communication dans un congrès Published on 01/11/2013 co-written by Alexandre Chapoulie, Patrick Rives, David Filliat -
A Comparison of Geometric and Energy-Based Point Cloud Semantic Segmentation Methods
Communication dans un congrès Published on 25/09/2013 co-written by Mathieu Dubois, Paola K. Rozo, Alexander Gepperth, Fabio A. González O., David Filliat -
The Impact of Human-Robot Interfaces on the Learning of Visual Objects
Article dans une revue Published on 29/04/2013 co-written by Pierre Rouanet, Pierre-Yves Oudeyer, Fabien Danieau, David Filliat -
Developmental object learning through manipulation and human demonstration
Communication dans un congrès Published on 01/01/2013 co-written by Natalya Lyubova, Serena Ivaldi, David Filliat -
Improving object learning through manipulation and robot self-identification
Communication dans un congrès Published on 01/01/2013 co-written by Natalia Lyubova, David Filliat, Serena Ivaldi -
Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot
Communication dans un congrès Published on 01/01/2013 co-written by Sao Mai Nguyen, Serena Ivaldi, Natalia Lyubova, Alain Droniou, Damien Gerardeaux-Viret, David Filliat, Vincent Padois, Olivier Sigaud, Pierre-Yves Oudeyer -
Modelling Stop Intersection Approaches using Gaussian Processes
Communication dans un congrès Published on 01/01/2013 co-written by Alexandre Armand, David Filliat, Javier Ibanez-Guzman -
Object learning through active exploration
Article dans une revue Published on 01/01/2013 co-written by Serena Ivaldi, Sao Mai Nguyen, Natalia Lyubova, Alain Droniou, Vincent Padois, David Filliat, Pierre-Yves Oudeyer, Olivier Sigaud -
Software architecture of the PACOM project
Communication dans un congrès Published on 01/01/2013 by David Filliat -
Topological segmentation of indoors/outdoors sequences of spherical views
Communication dans un congrès Published on 01/10/2012 co-written by Alexandre Chapoulie, Patrick Rives, David Filliat -
Developmental Approach for Interactive Object Discovery
Communication dans un congrès Published on 01/01/2012 co-written by Natalya Lyubova, David Filliat -
Developmental Learning for Object Perception
Communication dans un congrès Published on 01/01/2012 co-written by Natalia Lyubova, David Filliat -
Perception and human interaction for developmental learning of objects and affordances
Communication dans un congrès Published on 01/01/2012 co-written by Serena Ivaldi, Natalya Lyubova, Damien Gérardeaux-Viret, Alain Droniou, Salvatore Anzalone, Mohamed Chetouani, David Filliat, Olivier Sigaud -
RGBD object recognition and visual texture classification for indoor semantic mapping
Communication dans un congrès Published on 01/01/2012 co-written by David Filliat, Emmanuel Battesti, Stéphane Bazeille, Guillaume Duceux, Alexander Gepperth, Lotfi Harrath, Islem Jebari, Rafael Pereira, Adriana Tapus, Cedric Meyer, Sio-Hoi Ieng, Ryad Benosman, Eddy Cizeron, Jean-Charles Mamanna, Benoit Pothier -
Navigation, perception et apprentissage pour la robotique
HDR Published on 12/07/2011 by David Filliat -
Software architecture for an exploration robot based on Urbi
Communication dans un congrès Published on 24/05/2011 co-written by Jean-Christophe Baillie, Akim Demaille, Guillaume Duceux, David Filliat, Quentin Hocquet, Matthieu Nottale -
Combined Vision and Frontier-Based Exploration Strategies for Semantic Mapping
Communication dans un congrès Published on 01/01/2011 co-written by Islem Jebari, Stéphane Bazeille, David Filliat -
Incremental topo-metric SLAM using vision and robot odometry
Communication dans un congrès Published on 01/01/2011 co-written by Stéphane Bazeille, David Filliat -
Multi-sensor semantic mapping and exploration of indoor environments
Communication dans un congrès Published on 01/01/2011 co-written by Islem Jebari, Stéphane Bazeille, Emmanuel Battesti, Hassène Tekaya, Markus Klein, Adriana Tapus, David Filliat, Cédric Meyer, Sio-Hoi Ieng, Ryad Benosman, Eddy Cizeron, Jean-Charles Mamanna, Benoit Pothier -
Qualitative localization using vision and odometry for path following in topo-metric maps
Communication dans un congrès Published on 01/01/2011 co-written by Emmanuel Battesti, Stéphane Bazeille, David Filliat -
Robotique Mobile
Cours Published on 01/01/2011 by 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
Communication dans un congrès Published on 01/01/2010 co-written by Pierre Rouanet, Pierre-Yves Oudeyer, David Filliat -
A bag-of-features framework for incremental learning of speech invariants in unsegmented audio streams
Communication dans un congrès Published on 01/01/2010 co-written by Olivier Mangin, Pierre-Yves Oudeyer, David Filliat -
Combining Odometry and Visual Loop-Closure Detection for Consistent Topo-Metrical Mapping
Article dans une revue Published on 01/01/2010 co-written by Stéphane Bazeille, David Filliat -
Manuel d'éducation des jeunes robots à l'usage de leurs maitres
Autre publication scientifique Published on 01/01/2010 by David Filliat -
Using mediator objects to easily and robustly teach visual objects to a robot.
Communication dans un congrès Published on 01/01/2010 co-written by 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
Communication dans un congrès Published on 07/12/2009 co-written by 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
Communication dans un congrès Published on 01/01/2009 co-written by Pierre-Yves Oudeyer, Pierre Rouanet, David Filliat -
Combining Odometry and Visual Loop-Closure Detection for Consistent Topo-Metrical Mapping
Communication dans un congrès Published on 01/01/2009 co-written by Stéphane Bazeille, David Filliat -
Visual topological SLAM and global localization
Communication dans un congrès Published on 01/01/2009 co-written by Adrien Angeli, Stéphane Doncieux, Jean-Arcady Meyer, David Filliat -
A Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words
Article dans une revue Published on 01/01/2008 co-written by Adrien Angeli, David Filliat, Stéphane Doncieux, Jean-Arcady Meyer -
Incremental vision-based topological SLAM
Communication dans un congrès Published on 01/01/2008 co-written by Adrien Angeli, Stéphane Doncieux, Jean-Arcady Meyer, David Filliat -
Interactive learning of visual topological navigation
Communication dans un congrès Published on 01/01/2008 by David Filliat -
Real-Time Visual Loop-Closure Detection
Communication dans un congrès Published on 01/01/2008 co-written by Adrien Angeli, Stéphane Doncieux, Jean-Arcady Meyer, David Filliat -
A visual bag of words method for interactive qualitative localization and mapping
Communication dans un congrès Published on 01/01/2007 by David Filliat -
2D Simultaneous Localization And Mapping for Micro Air Vehicles
Communication dans un congrès Published on 01/07/2006 co-written by Adrien Angeli, David Filliat, Stéphane Doncieux, Jean-Arcady Meyer -
Integration of navigation and action selection functionalities in a computational model of cortico-basal ganglia-thalamo-cortical loops
Article dans une revue Published on 01/01/2005 co-written by 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
Communication dans un congrès Published on 01/01/2004 co-written by Benoît Girard, David Filliat, Jean-Arcady Meyer, Alain Berthoz, Agnès Guillot -
Controlling the autonomy of a reconnaissance robot
Communication dans un congrès Published on 01/01/2004 co-written by André Dalgalarrondo, Delphine Dufourd, David Filliat -
State of the artificial rat Psikharpax
Communication dans un congrès Published on 01/01/2004 co-written by David Filliat, Benoît Girard, Agnès Guillot, Mehdi Khamassi, Loïc Lachèze, Jean-Arcady Meyer -
Map-based navigation in Mobile robots - II. A review of map-learning and path-planing strategies
Article dans une revue Published on 01/01/2003 co-written by Jean-Arcady Meyer, David Filliat -
Map-based navigation in mobile robots - I. A review of localisation strategies
Article dans une revue Published on 01/01/2003 co-written by David Filliat, Jean-Arcady Meyer -
Evolutionary Approaches to Neural Control of Rolling, Walking, Swimming and Flying Animats or Robots
Chapitre d'ouvrage Published on 01/01/2002 co-written by Jean-Arcady Meyer, Stéphane Doncieux, David Filliat, Agnès Guillot -
Global localization and topological map learning for robot navigation
Communication dans un congrès Published on 01/01/2002 co-written by David Filliat, Jean-Arcady Meyer -
Cartographie et estimation globale de la position pour un robot mobile autonome
Thèse Published on 21/12/2001 by David Filliat -
Active perception and map-learning for robot navigation
Communication dans un congrès Published on 01/09/2000 co-written by David Filliat, Jean-Arcady Meyer -
Evolution of neural controllers for locomotion and obstacle-avoidance in a 6-legged robot
Article dans une revue Published on 01/01/1999 co-written by David Filliat, Jérôme Kodjabachian, Jean-Arcady Meyer -
Incremental evolution of neural controllers for navigation in a 6-legged robot
Communication dans un congrès Published on 01/01/1999 co-written by David Filliat, Jérôme Kodjabachian, Jean-Arcady Meyer -
Utilisation de mécanismes de perception active pour la navigation d'un robot mobile
Chapitre d'ouvrage Published on 01/01/1999 by David Filliat