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Development of a Store-and-Forward Navigation System with Semantic Void Detection for Autonomous Construction Monitoring
Current methods for tracking construction progress rely on manual inspections, which are slow, inconsistent, and often dangerous. This research project aims to automate this process using an agile quadruped robot (a “robot dog”) developed by Noûs Technologies. The interns will create a smart navigation system that uses the building’s digital blueprints to guide the robot, ensuring it inspects critical structures like walls and columns. To overcome the limited computer power available on small robots, the team is developing a unique “feedback loop”: the robot records data, a powerful central computer analyzes it to detect any missing spots, and then automatically updates the robot’s plan to capture those gaps the next day. This innovation enables Noûs Technologies to offer a highly accurate, autonomous 3D monitoring service that helps construction companies reduce costly errors and keep projects on schedule.
Faculty Supervisor:
François Ferland
Student:
Partner:
Noûs Technologies
Discipline:
Engineering
Sector:
Professional, scientific and technical services
University:
Université de Sherbrooke
Program:
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.