York University · Lassonde

AUGMENTED URBAN SPACE MODELING LABORATORY

EMBODIED SPATIAL INTELLIGENCE

3D DIGITAL TWINS · AUTONOMOUS MAPPING · SPACE AWARENESS

160+Research papers
17Ph.D. graduates
14Postdoctoral fellows trained
6Open datasets
Semantic segmentation of a city-scale LiDAR point cloud

RESEARCH DIRECTION

Structured Spatial World Models

Drones and robots sense the world, build accurate 3D world models, and use those models to predict, decide and act. What they learn from acting flows back to update the model.

The AUSM Lab develops solutions for representing and understanding urban environments through visual and spatial data.

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Structured Spatial World Models Flagship direction: Autonomous mapping agents
  1. Sensing · Autonomy See the world now
  2. 3D World Model Know what the world looks like
  3. Prediction · Action Predict what happens before acting

Results of action feed back into sensing, closing the loop.

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JOIN US

We are recruiting Ph.D. and M.Sc. students.

The AUSM Lab is recruiting Ph.D. and M.Sc. students. We also welcome inquiries from prospective postdoctoral fellows. Positions are supported by NSERC Discovery Grants, the NSERC CREATE SMART program and industry partnerships.