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Jordan is a PhD student co-advised with Pierre-Brice Wieber. Jordan investigates reinforcement and imitation learning for social robot navigation.

I am honored to be awarded the IEEE TMM Outstanding Associate Editor Award 2022. IEEE TMM is an excellent journal, and I am thrilled to participate to its editorial board. Outstanding_AE_2022_XavierAlamedaPineda

As of July 1st 20201, I am the Lead of the RobotLearn Team at Inria Grenoble Rhône-Alpes. RobotLearn’s main ambition is to train robots to acquire the capacity to look, listen, learn, move and speak in a socially acceptable manner. This will be achieved via a fine tuning between scientific findings, development of practical algorithms ...

In µDialBot our ambition is to actively incorporate human-behavior cues in spoken human-robot communication. We intend to reach a new level in the exploitation of the rich information available with audio and visual data flowing from humans when interacting with robots. In particular, extracting highly informative verbal and non-verbal perceptive features will enhance the robot’s ...

I have successfully defended the “Habilitation à Diriger des Recherches” or HDR . The dissertation’s title was: Towards Probabilistic Generative Models for Socially Intelligent Robots Learning Multi-Person Robot Interactions from Audio-Visual Data The dissertation was defended in front of a Distinguished Committee: Prof. Ramesh Jain, University of California, Irvine Dr. Emmanuel Vincent, Inria Nancy Grand-Est Prof. ...

Xiaoyu is a PhD student co-advised with Laurent Girin. Xiaoyu investigates the use of complex deep generative models for multi-modal (audio-visual) processing. . References  

I have the honor to become member of the European Laboratory for Learning and Intelligent Systems (ELLIS). This is an excellent initiative to foster AI research and development in Europe, and I am very happy to be part of it. I will do my best to contribute by developing learning models and methods to bring social intelligence ...

Gaëtan is a PhD student co-advised by Laurent Girin, Chris Reinke and myself. Gaëtan’s research topic is on the use of reinforcement learning to enhance robotic multi-modal perception.

The special issue on Generating Realistic Visual Data of Human Behavior has been published: Link to the editorial. Link to the contents of the special issue. Thanks to all the authors, to the program committee, to IJCV and to Elisa, Albert, Nicu and Shuicheng!

The project ML3RI (pronounced /mlẹɾi/) is mainly funded by the Young Researcher (Jeunes Chercheuses et Jeunes Chercheurs) programme of the ANR, under grant agreement ANR-19-CE33-0008-01. Additional support has been received within the framework of the “Investissements d’avenir” program (ANR-15-IDEX-02). ML3RI stands for Multi-modal multi-person low-level learning for robot interactions. The project aims to develop learning models ...