Making robots safe, robust and useful in our everyday spaces.

A multidisciplinary approach to AI. 

Our main areas of expertise are computer vision (human understanding, human pose estimation, lifelong learning, 3D vision, representation learning…), natural language processing (speech, controlled generation, translation, multimodal neural search…), machine learning for robotics (reinforcement learning, manipulation, navigation, task learning…),  machine learning for optimization (data driven optimization, deep learning for combinatorial optimization, stochastic programming…), human-robot interaction and software engineering to integrate AI/ML components with no code/low code. These different areas of expertise focus on one or several of the three AI for Robotics themes (action, interaction and vision).


  • 3D Foundation Models
    • DUSt3R: 3D reconstruction model that works with no prior info on camera calibration nor viewpoint poses
    • CroCo-Man: Cross-view and Cross-pose Completion for 3D Human Understanding
    • CroCo: Self-supervised pre-training for 3D vision tasks by cross-view completion
  • Robot navigation
    • DiPCAN: Distilling privileged information for crowd-aware navigation


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