Construction Vision Lab
Department of Civil & Mineral Engineering - University of Toronto
Our research explores the integration of robotics, computer vision, artificial intelligence (AI), and human factors in construction. We focus on co-robotic systems that enable autonomous operation and effective human-robot collaboration to improve safety, productivity, and ergonomics on construction sites. Our research includes simulation, synthetic data generation, pose estimation, and AI agents to support the development of intelligent and adaptive construction technologies
Research Areas
Robotics in
Construction
Synthetic Data-driven Construction DNN Training
Autonomous
Excavation
3D Reconstruction and Digital Twin of Construction Projects
Scan-to-BIM Comparison Automation
Deep Neural Network Powered Construction Site Monitoring
Biosignal-driven Human-centric Human-robot Collaboration
Multi AI Agents for
Construction
Generative Adversarial Network for Imagery Data Augmentation
Partners
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University of Toronto
Galbraith Building
Toronto, ON M5S 1A4