Evolution of Neural Controllers for Locomotion and Obstacle Avoidance in a Six-legged Robot. - David Filliat; Jérôme Kodjabachian; Jean-Arcady Meyer (Connect. Sci., 1999)

Cartographie et estimation globale de la position pour un robot mobile autonome. - David Filliat (2001)

Map-based navigation in mobile robots: : I. A review of localization strategies. - David Filliat; Jean-Arcady Meyer (Cogn. Syst. Res., 2003)

Map-based navigation in mobile robots: : II. A review of map-learning and path-planning strategies. - Jean-Arcady Meyer; David Filliat (Cogn. Syst. Res., 2003)

Integration of Navigation and Action Selection Functionalities in a Computational Model of Cortico-Basal-Ganglia-Thalamo-Cortical Loops. - Benoît Girard 001; David Filliat; Jean-Arcady Meyer; Alain Berthoz; Agnès Guillot (Adapt. Behav., 2005)

A visual bag of words method for interactive qualitative localization and mapping. - David Filliat (ICRA, 2007)

Real-time visual loop-closure detection. - Adrien Angeli; Stéphane Doncieux; Jean-Arcady Meyer; David Filliat (ICRA, 2008)

Incremental vision-based topological SLAM. - Adrien Angeli; Stéphane Doncieux; Jean-Arcady Meyer; David Filliat (IROS, 2008)

Interactive learning of visual topological navigation. - David Filliat (IROS, 2008)

Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words. - Adrien Angeli; David Filliat; Stéphane Doncieux; Jean-Arcady Meyer (IEEE Trans. Robotics, 2008)

An integrated system for teaching new visually grounded words to a robot for non-expert users using a mobile device. - Pierre Rouanet; Pierre-Yves Oudeyer; David Filliat (Humanoids, 2009)

Visual topological SLAM and global localization. - Adrien Angeli; Stéphane Doncieux; Jean-Arcady Meyer; David Filliat (ICRA, 2009)

A Bag-of-features Framework for Incremental Learning of Speech Invariants in Unsegmented Audio Streams. - Olivier Mangin; Pierre-Yves Oudeyer; David Filliat (EpiRob, 2010)

A study of three interfaces allowing non-expert users to teach new visual objects to a robot and their impact on learning efficiency. - Pierre Rouanet; Pierre-Yves Oudeyer; David Filliat (HRI, 2010)

Using mediator objects to easily and robustly teach visual objects to a robot. - Pierre Rouanet; Pierre-Yves Oudeyer; David Filliat (SIGGRAPH Posters, 2010)

Combining Odometry and Visual Loop-Closure Detection for Consistent Topo-Metrical Mapping. - Stéphane Bazeille; David Filliat (RAIRO Oper. Res., 2010)

Navigation, perception et apprentissage pour la robotique. (Navigation, perception and learning for robotics). - David Filliat (2011)

Qualitative Localization using Vision and Odometry for Path Following in Topo-metric Maps. - Stéphane Bazeille; Emmanuel Battesti; David Filliat (ECMR, 2011)

A spherical representation for efficient visual loop closing. - Alexandre Chapoulie; Patrick Rives; David Filliat (ICCV Workshops, 2011)

Incremental topo-metric SLAM using vision and robot odometry. - Stéphane Bazeille; David Filliat (ICRA, 2011)

Perception and human interaction for developmental learning of objects and affordances. - Serena Ivaldi; Natalia Lyubova; Damien Gérardeaux-Viret; Alain Droniou; Salvatore Maria Anzalone; Mohamed Chetouani; David Filliat; Olivier Sigaud (Humanoids, 2012)

Developmental approach for interactive object discovery. - Natalia Lyubova; David Filliat (IJCNN, 2012)

Topological segmentation of indoors/outdoors sequences of spherical views. - Alexandre Chapoulie; Patrick Rives; David Filliat (IROS, 2012)

RGBD object recognition and visual texture classification for indoor semantic mapping. - 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; et al. (TePRA, 2012)

A comparison of geometric and energy-based point cloud semantic segmentation methods. - Mathieu Dubois; Paola K. Rozo; Alexander Gepperth; Fabio A. González 001; David Filliat (ECMR, 2013)

Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot. - Sao Mai Nguyen; Serena Ivaldi; Natalia Lyubova; Alain Droniou; Damien Gérardeaux-Viret; David Filliat; Vincent Padois; Olivier Sigaud; Pierre-Yves Oudeyer (ICDL-EPIROB, 2013)

Appearance-based segmentation of indoors/outdoors sequences of spherical views. - Alexandre Chapoulie; Patrick Rives; David Filliat (IROS, 2013)

Modelling stop intersection approaches using Gaussian processes. - Alexandre Armand; David Filliat; Javier Ibañez-Guzmán (ITSC, 2013)

Improving object learning through manipulation and robot self-identification. - Natalia Lyubova; David Filliat; Serena Ivaldi (ROBIO, 2013)

The Impact of Human-Robot Interfaces on the Learning of Visual Objects. - Pierre Rouanet; Pierre-Yves Oudeyer; Fabien Danieau; David Filliat (IEEE Trans. Robotics, 2013)

Romeo2 Project: Humanoid Robot Assistant and Companion for Everyday Life: I. Situation Assessment for Social Intelligence. - Amit Kumar Pandey; Rodolphe Gelin; Rachid Alami 001; Renaud Viry; Axel Buendia; Roland Meertens; Mohamed Chetouani; Laurence Devillers; Marie Tahon; David Filliat; Yves Grenier; Mounira Maazaoui; et al. (AIC, 2014)

Live demonstration: Neuromorphic event-based multi-kernel algorithm for high speed visual features tracking. - Xavier Lagorce; Cedric Meyer; Sio-Hoi Ieng; David Filliat; Ryad Benosman (BioCAS, 2014)

Neural Network Fusion of Color, Depth and Location for Object Instance Recognition on a Mobile Robot. - Louis-Charles Caron; David Filliat; Alexander Gepperth (ECCV Workshops (3), 2014)

Neural network based 2D/3D fusion for robotic object recognition. - Louis-Charles Caron; Yang Song; David Filliat; Alexander Gepperth (ESANN, 2014)

Workshop: Pathways of cognitive development. - Nikolas Hemion; Jean-Christophe Baillie; David Filliat (ICDL-EPIROB, 2014)

Unsupervised and online non-stationary obstacle discovery and modeling using a laser range finder. - Guillaume Duceux; David Filliat (IROS, 2014)

Ontology-based context awareness for driving assistance systems. - Alexandre Armand; David Filliat; Javier Ibañez-Guzmán (Intelligent Vehicles Symposium, 2014)

A framework for proactive assistance: Summary. - Alexandre Armand; David Filliat; Javier Ibañez-Guzmán (SMC, 2014)

Object Learning Through Active Exploration. - Serena Ivaldi; Sao Mai Nguyen; Natalia Lyubova; Alain Droniou; Vincent Padois; David Filliat; Pierre-Yves Oudeyer; Olivier Sigaud (IEEE Trans. Auton. Ment. Dev., 2014)

Cross-situational noun and adjective learning in an interactive scenario. - Yuxin Chen 005; David Filliat (ICDL-EPIROB, 2015)

Exploration strategies for incremental learning of object-based visual saliency. - Céline Craye; David Filliat; Jean-Francois Goudou (ICDL-EPIROB, 2015)

Gated networks: an inventory. - Olivier Sigaud; Clément Masson; David Filliat; Freek Stulp (CoRR, 2015)

A Light Visual Mapping and Navigation Framework for Low-Cost Robots. - Stéphane Bazeille; Emmanuel Battesti; David Filliat (J. Intell. Syst., 2015)

Asynchronous Event-Based Multikernel Algorithm for High-Speed Visual Features Tracking. - Xavier Lagorce; Cedric Meyer; Sio-Hoi Ieng; David Filliat; Ryad Benosman (IEEE Trans. Neural Networks Learn. Syst., 2015)

An experimental comparison between NMF and LDA for active cross-situational object-word learning. - Yuxin Chen 005; Jean-Baptiste Bordes; David Filliat (ICDL-EPIROB, 2016)

On the use of intrinsic motivation for visual saliency learning. - Céline Craye; David Filliat; Jean-Francois Goudou (ICDL-EPIROB, 2016)

An iterative algorithm for forward-parameterized skill discovery. - Adrien Matricon; David Filliat; Pierre-Yves Oudeyer (ICDL-EPIROB, 2016)

Environment exploration for object-based visual saliency learning. - Céline Craye; David Filliat; Jean-Francois Goudou (ICRA, 2016)

RL-IAC: An exploration policy for online saliency learning on an autonomous mobile robot. - Céline Craye; David Filliat; Jean-Francois Goudou (IROS, 2016)

A Bayesian framework for preventive assistance at road intersections. - Alexandre Armand; David Filliat; Javier Ibañez-Guzmán (Intelligent Vehicles Symposium, 2016)

From passive to interactive object learning and recognition through self-identification on a humanoid robot. - Natalia Lyubova; Serena Ivaldi; David Filliat (Auton. Robots, 2016)

3D Hand Gesture Recognition Using a Depth and Skeletal Dataset. - Quentin De Smedt; Hazem Wannous; Jean-Philippe Vandeborre; Joris Guerry; Bertrand Le Saux; David Filliat (3DOR@Eurographics, 2017)

Extended reliable robust motion planners. - Adina M. Panchea; Alexandre Chapoutot; David Filliat (CDC, 2017)

"Look at this one" detection sharing between modality-independent classifiers for robotic discovery of people. - Joris Guerry; Bertrand Le Saux; David Filliat (ECMR, 2017)

Multi range real-time depth inference from a monocular stabilized footage using a fully convolutional neural network. - Clement Pinard; Laure Chevalley; Antoine Manzanera; David Filliat (ECMR, 2017)

SnapNet-R: Consistent 3D Multi-view Semantic Labeling for Robotics. - Joris Guerry; Alexandre Boulch; Bertrand Le Saux; Julien Moras; Aurélien Plyer; David Filliat (ICCV Workshops, 2017)

Real-time distributed receding horizon motion planning and control for mobile multi-robot dynamic systems. - José M. Mendes Filho; Eric Lucet; David Filliat (ICRA, 2017)

Unsupervised state representation learning with robotic priors: a robustness benchmark. - Timothée Lesort; Mathieu Seurin; Xinrui Li; Natalia Díaz Rodríguez; David Filliat (CoRR, 2017)

Learning Structure-from-Motion from Motion. - Clément Pinard; Laure Chevalley; Antoine Manzanera; David Filliat (ECCV Workshops (3), 2018)

Experimental Validation of a Multirobot Distributed Receding Horizon Motion Planning Approach. - José M. Mendes Filho; Eric Lucet; David Filliat (ICARCV, 2018)

Generic Object Discrimination for Mobile Assistive Robots Using Projective Light Diffusion. - Panagiotis Papadakis; David Filliat (WACV Workshops, 2018)

Training Discriminative Models to Evaluate Generative Ones. - Timothée Lesort; Jean-François Goudou; David Filliat (CoRR, 2018)

Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning. - Hugo Caselles-Dupré; Louis Annabi; Oksana Hagen; Michaël Garcia Ortiz; David Filliat (CoRR, 2018)

End-to-end depth from motion with stabilized monocular videos. - Clement Pinard; Laure Chevalley; Antoine Manzanera; David Filliat (CoRR, 2018)

Learning structure-from-motionfrom motion. - Clement Pinard; Laure Chevalley; Antoine Manzanera; David Filliat (CoRR, 2018)

S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning. - Antonin Raffin; Ashley Hill; René Traoré; Timothée Lesort; Natalia Díaz Rodríguez; David Filliat (CoRR, 2018)

Continual State Representation Learning for Reinforcement Learning using Generative Replay. - Hugo Caselles-Dupré; Michaël Garcia Ortiz; David Filliat (CoRR, 2018)

Don't forget, there is more than forgetting: new metrics for Continual Learning. - Natalia Díaz Rodríguez; Vincenzo Lomonaco; David Filliat; Davide Maltoni (CoRR, 2018)

Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. - Stéphane Doncieux; David Filliat; Natalia Díaz Rodríguez; Timothy M. Hospedales; Richard J. Duro; Alexandre Coninx; Diederik M. Roijers; Benoît Girard 001; Nicolas Perrin 001; Olivier Sigaud (Frontiers Neurorobotics, 2018)

State representation learning for control: An overview. - Timothée Lesort; Natalia Díaz Rodríguez; Jean-François Goudou; David Filliat (Neural Networks, 2018)

Comparison Studies on Active Cross-Situational Object-Word Learning Using Non-Negative Matrix Factorization and Latent Dirichlet Allocation. - Yuxin Chen 005; Jean-Baptiste Bordes; David Filliat (IEEE Trans. Cogn. Dev. Syst., 2018)

Marginal Replay vs Conditional Replay for Continual Learning. - Timothée Lesort; Alexander Gepperth; Andrei Stoian; David Filliat (ICANN (2), 2019)

Training Discriminative Models to Evaluate Generative Ones. - Timothée Lesort; Andrei Stoian; Jean-François Goudou; David Filliat (ICANN (3), 2019)

Generative Models from the perspective of Continual Learning. - Timothée Lesort; Hugo Caselles-Dupré; Michaël Garcia Ortiz; Andrei Stoian; David Filliat (IJCNN, 2019)

Deep unsupervised state representation learning with robotic priors: a robustness analysis. - Timothée Lesort; Mathieu Seurin; Xinrui Li; Natalia Díaz Rodríguez; David Filliat (IJCNN, 2019)

Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. - Hugo Caselles-Dupré; Michaël Garcia Ortiz; David Filliat (NeurIPS, 2019)

Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics. - Antonin Raffin; Ashley Hill; Kalifou René Traoré; Timothée Lesort; Natalia Díaz Rodríguez; David Filliat (CoRR, 2019)

Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer. - René Traoré; Hugo Caselles-Dupré; Timothée Lesort; Te Sun; Natalia Díaz Rodríguez; David Filliat (CoRR, 2019)

Continual Learning for Robotics. - Timothée Lesort; Vincenzo Lomonaco; Andrei Stoian; Davide Maltoni; David Filliat; Natalia Díaz Rodríguez (CoRR, 2019)

DisCoRL: Continual Reinforcement Learning via Policy Distillation. - René Traoré; Hugo Caselles-Dupré; Timothée Lesort; Te Sun; Guanghang Cai; Natalia Díaz Rodríguez; David Filliat (CoRR, 2019)

Regularization Shortcomings for Continual Learning. - Timothée Lesort; Andrei Stoian; David Filliat (CoRR, 2019)

Exploring to learn visual saliency: The RL-IAC approach. - Céline Craye; Timothée Lesort; David Filliat; Jean-François Goudou (Robotics Auton. Syst., 2019)

BioVision: A Biomimetics Platform for Intrinsically Motivated Visual Saliency Learning. - Céline Craye; David Filliat; Jean-François Goudou (IEEE Trans. Cogn. Dev. Syst., 2019)

Trajectory Prediction of Traffic Agents: Incorporating context into machine learning approaches. - Vyshakh Palli-Thazha; David Filliat; Javier Ibañez-Guzmán (VTC Spring, 2020)

DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. - Stéphane Doncieux; Nicolas Bredèche; Leni K. Le Goff; Benoît Girard 001; Alexandre Coninx; Olivier Sigaud; Mehdi Khamassi; Natalia Díaz Rodríguez; David Filliat; Timothy M. Hospedales; A. E. Eiben; Richard J. Duro (CoRR, 2020)

Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges. - Timothée Lesort; Vincenzo Lomonaco; Andrei Stoian; Davide Maltoni; David Filliat; Natalia Díaz Rodríguez (Inf. Fusion, 2020)

On the Sensory Commutativity of Action Sequences for Embodied Agents. - Hugo Caselles-Dupré; Michaël Garcia Ortiz; David Filliat (AAMAS, 2021)

Iterative Learning for Model Reactive Control: Application to Autonomous Multi-agent Control. - Omar Shrit; David Filliat; Michèle Sebag (ICARA, 2021)

S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. - Hugo Caselles-Dupré; Michaël Garcia Ortiz; David Filliat (IJCNN, 2021)

Evaluating Robustness over High Level Driving Instruction for Autonomous Driving. - Florence Carton; David Filliat; Jaonary Rabarisoa; Quoc Cuong Pham (IV, 2021)

Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving. - Florence Carton; David Filliat; Jaonary Rabarisoa; Quoc Cuong Pham (WACV (Workshops), 2021)

Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey. - Thomas Rojat; Raphaël Puget; David Filliat; Javier Del Ser; Rodolphe Gelin; Natalia Díaz Rodríguez (CoRR, 2021)

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. - Natalia Díaz Rodríguez; Alberto Lamas 001; Jules Sanchez; Gianni Franchi; Ivan Donadello; Siham Tabik; David Filliat; Policarpo Cruz; Rosana Montes; Francisco Herrera (CoRR, 2021)

SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences. - Hugo Caselles-Dupré; Michaël Garcia Ortiz; David Filliat (CoRR, 2021)

Are standard Object Segmentation models sufficient for Learning Affordance Segmentation? - Hugo Caselles-Dupré; Michaël Garcia Ortiz; David Filliat (CoRR, 2021)

Efficient State Representation Learning for Dynamic Robotic Scenarios. - Zhaorun Chen; Liang Gong; Te Sun; Binhao Chen; Shenghan Xie; David Filliat; Natalia Díaz Rodríguez (CoRR, 2021)

MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks. - Gianni Franchi; Xuanlong Yu; Andrei Bursuc; Ángel Tena; Rémi Kazmierczak; Séverine Dubuisson; Emanuel Aldea; David Filliat (BMVC, 2022)

Latent Discriminant Deterministic Uncertainty. - Gianni Franchi; Xuanlong Yu; Andrei Bursuc; Emanuel Aldea; Séverine Dubuisson; David Filliat (ECCV (12), 2022)

Task and Motion Planning Methods: Applications and Limitations. - Kai Zhang; Eric Lucet; Julien Alexandre Dit Sandretto; Selma Kchir; David Filliat (ICINCO, 2022)

A study of deep perceptual metrics for image quality assessment. - Rémi Kazmierczak; Gianni Franchi; Nacim Belkhir; Antoine Manzanera; David Filliat (CoRR, 2022)

MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks. - Gianni Franchi; Xuanlong Yu; Andrei Bursuc; Rémi Kazmierczak; Séverine Dubuisson; Emanuel Aldea; David Filliat (CoRR, 2022)

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. - Natalia Díaz Rodríguez; Alberto Lamas 001; Jules Sanchez; Gianni Franchi; Ivan Donadello; Siham Tabik; David Filliat; Policarpo Cruz; Rosana Montes; Francisco Herrera (Inf. Fusion, 2022)

VIBR: Learning View-Invariant Value Functions for Robust Visual Control. - Tom Dupuis; Jaonary Rabarisoa; Quoc-Cuong Pham; David Filliat (CoLLAs, 2023)

Navigation Among Movable Obstacles Using Machine Learning Based Total Time Cost Optimization. - Kai Zhang; Eric Lucet; Julien Alexandre Dit Sandretto; David Filliat (IROS, 2023)

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions. - Marwane Hariat; Antoine Manzanera; David Filliat (WACV, 2023)

Fourier Features in Reinforcement Learning with Neural Networks. - David Brellmann; David Filliat; Goran Frehse (Trans. Mach. Learn. Res., 2023)

On Double Descent in Reinforcement Learning with LSTD and Random Features. - David Brellmann; Eloïse Berthier; David Filliat; Goran Frehse (ICLR, 2024)

A probabilistic approach for learning and adapting shared control skills with the human in the loop. - Gabriel Quere; Freek Stulp; David Filliat; João Silvério (ICRA, 2024)

Open the Chests: An Environment for Activity Recognition and Sequential Decision Problems Using Temporal Logic. - Ivelina Stoyanova; Nicolas Museux; Sao Mai Nguyen; David Filliat (TIME, 2024)

InfraParis: A multi-modal and multi-task autonomous driving dataset. - Gianni Franchi; Marwane Hariat; Xuanlong Yu; Nacim Belkhir; Antoine Manzanera; David Filliat (WACV, 2024)

Foundation Models Meet Low-Cost Sensors: Test-Time Adaptation for Rescaling Disparity for Zero-Shot Metric Depth Estimation. - Rémi Marsal; Alexandre Chapoutot; Philippe Xu; David Filliat (CoRR, 2024)

Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks. - Marwane Hariat; Antoine Manzanera; David Filliat (CVPR, 2025)

Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting. - Adrien Lafage; Mathieu Barbier; Gianni Franchi; David Filliat (WACV, 2025)

Robust trajectory forecasting in autonomous systems using mixtures of Student's T-distributions with T-DistNet. - Adrien Lafage; Gianni Franchi; Mathieu Barbier; David Filliat (Pattern Recognit., 2025)