The Robotics and Embodied AI Lab (REAL)s is a research lab affiliated with DIRO and Mila, at Université de Montréal. REAL is dedicated to making robots and other embodied agents more capable, easier to use, and safer with machine learning where appropriate.
In particular, REAL is focussed on building representations of the world (such as for simultaneous localization and mapping), modelling of uncertainty, and building better workflows to teach robotic agents new tasks (such as through simulation or demonstration). We are always looking out for talented students to join us as full-time students / visitors. To know more, click on the link below.
Learn moreDifferentiable dense SLAM for task-driven representation learning
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Making sim-to-real transfer more efficient
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Learning to construct amodal, interactable representations of the world
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Learned active localization, implemented on “real” robots.
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A major thrust area for the group
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A self-supervised deep network for visual odometry estimation from monocular imagery.
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