cv

PhD candidate

IMAGINE, Ecole des Ponts / Google DeepMind

Co-supervised by Gül Varol (ENPC), Ahmet Iscen and Mathilde Caron (Google DeepMind)

• Multimodal Agents, Video Understanding

Visiting Graduate Researcher

MIT Computational Cognitive Science Lab

Investigating cultural evolution theories to enhance artificial agents' drawing capabilities

• Multimodal Agents, Cultural Evolution
• Supervised by Cédric Colas

Research Assistant

CNRS-AIST Joint Robotics Laboratory

Designing an automatic, multisensory segmentation method to learn and generalize manipulation tasks for humanoid robots

• Robotics, Machine Learning
• Supervised by Fumio Kanehiro

Purchasing intern

TAG Heuer

Developed a software for governance and risk management

Masters of Science

Institut Polytechnique de Paris

Artificial Intelligence and Advanced Visual Computing

Masters - Diplôme d'ingénieur

Ecole Polytechnique

Artificial Intelligence and Advanced Visual Computing

Learning and Generalizing Tasks on Humanoid Robots with an Automatic Multisensory Segmentation Method

IEEE Symposium on Systems Integration

We provide a complete framework for learning and reproducing tasks from human demonstrations. This framework adapts recent developments in automatic, unsupervised segmentation of time-series to humanoid robotics by preprocessing the data obtained from a broad range of the robot's sensors, to then repropduce the learned task in similar environments. In more detail, we reproduce and extend the acquired multi-step task using Dynamic Movement Primitives in simulation for the JVRC1 Robot, and further validate it the segmentation process in real world with the HRP-4C Robot, thus showcasing the possibility to create an extensive library of reusable skills for complex humanoids with our approach.