faculty

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robot vision, machine learning, planning and control

graduate students

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autonomous driving, robotics, computer vision, machine learning

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reinforcement learning, safe exploration, robotics, recommender systems. co-supervised by Animesh Garg

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control theory, learning for control, robotics, sim-to-real transfer. co-supervised by Angela Schoellig

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reinforcement learning, control, 3D vision, continual learning, robotics. co-supervised by Sanja Fidler

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sim-to-real transfer, safe learning, statistics, machine learning

undergraduate students

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backwards reachability for nonlinear systems

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one-shot exemplar-based visual search from images and lidar

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backwards reachability for nonlinear systems

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3d vision for autonomous driving

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adversarial examples for image and lidar object detectors

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differentiable rendering for self-driving simulators

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combining imitation and reinforcement learning

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continual learning for control with changing dynamics

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one-shot exemplar-based visual search for video events

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differentiable rendering for self-driving simulators

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one-shot exemplar-based visual search for video events

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inducing cooperation in multi-agent reinforcement learning. co-supervised by Yang Xu

alumni

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undergraduate student, adversarial examples for image and lidar perception

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visiting phd student, McGill/MILA. combining imitation and reinforcement learning

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undergraduate student, control and reinforcement learning for mobile manipulation. next: UTIAS

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undergraduate student, adversarial examples for self-driving simulators. next: Stanford CS

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undergraduate student, adversarial examples for self-driving simulators. next: Unity Game Engine

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undergraduate student, combining imitation and reinforcement learning. next: UTIAS

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undergraduate student, out-of-distribution detection for image and lidar data. next: Intel

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undergraduate student, imitation learning for robotics. next: Stanford CS