Current students and collaborations
- Béatrice Garcia Cegarra (PhD 2025-…, AMIAD Funding): Hierarchical control for UAV Swarms in adversarial environments. Co-supervised with Elena Vanneaux and Quentin Picard
- Louis Dezons (PhD 2024-…, AMIAD Funding): Large Multimodal Models for offroad autonomous navigation. Co-supervised with François Goulette, Michael Krajecki and Quentin Picard
- Guillaume Thomas (PhD 2024-…, CEA Funding): Learning fine and dexterous manipulation through vision and kinesthetic observations. Collaboration, supervised by Mathieu Grossard Quoc Cuong Pham and Jaonary Rabarisoa.
- Mathilde Jeannin (PhD 2023-…, FARO project): Guaranteed algorithms for mobile robotics. Collaboration, supervised by Eric Goubault and Sylvie Putot.
- Marwane Hariat (PhD 2022-…, FARO project): Self-supervised depth estimation for robot navigation. Collaboration, supervised by Antoine Manzanera.
- Ivelina Stoyanova (PhD 2022-…, funding THALES): Characterization of a Markov decision process in a partially observable, incremental and event-driven environment for reinforcement learning using a decision policy based on temporal rules. Co-supervised with Sao Mai Nguyen and Nicolas Museux.
- Adrien Lafage (PhD 2022-2025, funding Renault): Uncertainty Quantification in Multimodal Trajectory Forecasting. Co-supervised with Gianni Franchi and Mathieu Barbier.
- Tom Dupuis (PhD 2021-2024, funding CEA): Reinforcement learning and representation learning for visuomotor control. Co-supervised with Jaonary Rabarisoa and Quoc Cuong Pham.
- Kai Zhang (PhD 2021-2025, funding CEA): Learning-based planning for navigation among movable obstacles under uncertainty. Co-supervised with Julien Alexandre Dit Sandretto, Eric Lucet, Selma Kchir.
- Gabriel Quere (PhD 2021-2024, funding DLR) : Learning and designing shared control skills from demonstrations for assistive robots. Co-supervised with Freek Stulp and Joao Silverio.
- David Brellmann (PhD 2020-2024): Experimental and Theoretical Analysis of Reinforcement Learning Algorithms. Co-supervised with Goran Frehse.
- Pavan R Vasishta (Postdoc 2021-2022): State representation learning for industrial applications (VeriDREAM project).
- Thomas Rojat (PhD 2020-2022): Interpretability of latent representations learned by neural networks for the characterization of abnormal events during vehicle driving. CIFRE with Renault. Co-supervised with Rodolphe Gélin, Raphael Puget & Natalia Diaz Rodriguez.
- Vyshakh Palli Thazha (PhD 2017-2022): Using context-cues and interaction for traffic-agent trajectory prediction. CIFRE with Renault. Co-supervised with Hervé Illy & Javier Ibanez-Guzman.
- Hugo Caselles-Dupré (PhD 2018-2021): On the role of Actions and Machine Learning in Artificial Agent Perception. CIFRE with Softbank Robotics, Co-supervised with Mickael Garcia-Ortiz
- Florence Carton (PhD 2017-2021, funding CEA): Exploration of reinforcement learning algorithms for autonomous vehicle visual perception and control co-supervised with Jaonary Rabarisoa and Quoc Cuong Pham
- Timothée Lesort (PhD 2017-2021): Continual Learning : Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes. CIFRE with THALES. Co-supervised with Jean-Francois Goudou and Andrei Stoian.
- Clément Pinard (PhD 2016-2019, CIFRE Parrot): Robust Learning of a depth map for obstacle avoidance with a monocular stabilized flying camera, Co-supervised with Antoine Manzanera and Laure Chevalley.
- José Magno Mendes Filho (PhD 2015-2019): Online Distributed Motion Planning for Mobile Multi-robot Systems. Co-supervised with Eric Lucet (CEA)
- Adrien Matricon (PhD 2014-2018) : Merging robotic skills into more general skills. Co-supervised with Pierre-Yves Oudeyer.
- Harmish Khambaita (Post-Doc 2017-2018) : Decision making for autonomous vehicles
- Tianming Lu (Post-Doc, 2017-2018): Teleoperation of autonomous vehicles
- Joris Guery (PhD 2014-2017): Robust visual recognition by neural networks in robotic exploration scenarios. Detect me if you can!. Co-supervised with Bertrand Le Saulx (ONERA)
- Clément Masson (PhD 2015-2016): Unsupervised learning of sensorimotor contingencies. Co-supervised with Freek Stulp and Olivier Sigaud (ISIR).
- Panagiotis Papadakis (Post-Doc 2014-2016): Object detection and semantic mapping for a humanoid robot. As part of the ROMEO 2 project.
- Celine Craye (PhD 2014-2017): Intrinsic motivation mecanisms for incremental learning of visual saliency. Co-supervised with Jean-Francois Goudou.
- Yuxin Chen (PhD 2013-2017) : Interactive learning of words and objects for a humanoid robot.
- Louis-Charles Caron (PhD 2012-2015) : Combining Depth, Color and Position Information for Object Instance Recognition on an Indoor Mobile Robot Co-supervised with Alexander Gepperth.
- Mathieu Dubois (Post-Doc 2012) : Multimodal semantic segmentation.
- Alexandre Armand (PhD 2011-2016) : Situation understanding and risk assessment framework for preventive driver assistance, Thèse CIFRE Renault, Co-supervised with Javier-Ibanez Guzman.
- Guillaume Duceux (PhD 2011-2015) : Towards Unsupervised And Incremental Semantic Mapping
- Natalia Lyubova (PhD 2010-2013) : Developmental approach of perception for a humanoid robot.
- Islem Jebari (PhD 2009-2012) : 3D semantic mapping for indoor environment exploration.
- Alexandre Chapoulie (PhD 2009-2012) : Contributions to visual loop closure detection and environment topological segmentation methods. Co-supervised with Patrick Rives.
- Stéphane Bazeille (Post-Doc 2009-2011) : Appearance based topological navigation.
- Adrien Angeli (PhD 2005-2008) : Visual SLAM applications of loop-closure detection. Supervised by Jean-Arcady Meyer.
- ANR MOBILEX TAURUS (2023-2027): Participation in the MOBILEX challenge on navigation in unstructured environments. Led by Alexandre Chapoutot, in collaboration with EXAIL Robotics.
- ANR ASTRID Nimble x ENSTA (2023-2024): Extending the Aru robot’s autonomous outdoor navigation capabilities through traversability prediction - Collaboration with Nimble One
- AID FARO (2021-2025): The FARO project focuses on the development of new algorithms (model and/or data driven) and new validation methods to ensure the proper functioning of swarm drones, on land, in the air or at sea - Collaboration with Telecom Paris and Ecole Polytechnique
- H2020 VeriDREAM (2020-2022) The VeriDREAM project (VERtical Innovation in the Domain of Robotics Enabled by Artificial intelligence Mandhods) is a European project with the objective of developing industrial applications following the H2020 DREAM and RobDREAM projects.
- PIA EVAPS (2016-2020) The objective of the EVAPS project (Eco mobility by Autonomous Vehicles in the Paris-Saclay region) is to develop intelligent mobility services for peri-urban journeys, in autonomous driving, without driver. We have developed trajectory planning and tele-operation algorithms for remote vehicle handover.
- ITEA3 DANGUN (2016-2019) Project on the development of an autonomous vehicle in which we have developed a remote operation capacity for these vehicles.
- H2020 DREAM (2015-2018) The DREAM project (Deferred Restructuring of Experience in Autonomous Machines) is a European project focusing on the development of processes inspired by sleep and dreams in a cognitive architecture for robotics. We have developed state representation learning approaches for reinforcement learning.
- PSPC ROMEO 2 (2012-2017) The ROMEO 2 project carried by Aldebaran Robotics in which we have developed object dandection mandhods by RGB-D camera and semantic mapping mandhods.
- FUI ROBOT POPULI (2012-2014) Project with the company Awabot in which we have developed a robust visual navigation algorithm for service robotics.
- ANR MACSi (2010-2014) The MACSi project focuses on the development of social and developmental learning capacities for perception on an iCub robot.
- ANR PACOM (2009-2012) The PACOM project concerns the development of exploration mandhods and semantic mapping within the framework of the “Carrote” compandition organized by the ANR and the DGA.
