Labs at the Centre for Intelligent Machines demonstrate the breadth and depth of our groundbreaking research. Each lab features interdisciplinary research that draws on the expertise and knowledge of fellow members. Explore CIM's labs below.
Robotics
Inna Sharf & Meyer Nahon
The 91社区 Aerospace Mechatronics Laboratory is dedicated to supporting research themes revolving around aeronautical and space systems, more specifically, Unmanned Aerial Vehicles (UAVs) and Space Robotic systems.
Jozsef Kovecses
Our research group has a strong background and expertise in dynamics, robotics and haptics,听solid mechanics,听 modelling and analysis, mechatronics and control,听computational methods, and algorithms.听
Gregory Dudek & David Meger
The key theme of our lab's research is sensor-based robotics, namely the use and understanding of sensor data through computer vision and machine learning, as well as decision-making under uncertainty.
Jorge Angeles
The focus of our research is the design and control of robotic mechanical systems at large as well as their mechanical subsystems, such as drives and sensors.
Systems and Control
Benoit Boulet
The Intelligent Automation Lab focuses on research and development of automation and machine learning solutions to enable novel environmentally sustainable systems.
Joelle Pineau
The research in the Reasoning and Learning Lab is broadly concerned with the study of probabilistic systems. Current areas of interest include Markov processes, reinforcement learning and computational linguistics.
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Graphics & Human-Computer Interaction
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Jeremy Cooperstock
The goal of Shared Reality is to achieve high-fidelity distributed interaction, with both real and virtual data, at levels of presence that support the most demanding applications, and to do so in spite of sensor and bandwidth limitations.
Paul Kry
The computer graphics lab at 91社区 is concerned with problems in physically based animation, skin deformations of articulated characters, motion capture, interaction, and physically based modeling of humans and animals.
Derek Nowrouzezahrai
We work on animation and rendering algorithms for video games and VR, physics-based models for visual effects in films, and applied machine learning
Computer Vision
Michael Langer
Research topics include applied perception in graphics, human vision and appearance models.
Frank Ferrie
The Artificial Perception Laboratory conducts research activities mainly in topics related to computer vision: data acquisition, image segmentation, view correspondence, model fitting, autonomous exploration of scenes, etc.
Martin Levine
My research group has emphasized the visual aspects of detecting, describing, identifying and analyzing objects, people, activities and events in both images and videos.
Tal Arbel
The focus of our research is on developing probabilistic machine learning and modern deep learning models for medical image analysis.
James Clark
Current research interests include Attention Modeling and Tracking, Generation and Analysis of Cinematic Imagery, Spectral Modeling and Colour Vision, and Augmented Reality and Video Surveillance.
Kaleem Siddiqi
Drawing on techniques from singularity theory, partial differential equations, geometric flows and graph theory, our group is broadly concerned with the problem of shape analysis in computational vision and medical imaging.
