RESEARCH
Making robots safe, robust and useful in our everyday spaces.
A multidisciplinary approach to AI across three main research axes.
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).