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Grant: Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives

The University of British Columbia

$316,140.00

Automated Robotic Inspection of Construction Sites for Quality Assurance

FY 2024-25 · 2025-02-01

Summary
Automated Quality Assurance and Quality Control (QA/QC) will be developed using autonomous robots. Specifically, algorithms that will enable robots to autonomously scan a construction site while avoiding workers to gather camera and LiDAR data will be developed. This data will be compared with BIM 3D design models to identify discrepancies between designed and builtconfigurations and flag mistakes. These algorithms will be implemented in software and demonstrated in a laboratory environment on ground and aerial robots.
Program
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Location
Vancouver|Vancouver, British Columbia, Canada
Recipient Type
Academia
Business Number
108161779
Type
Grant
Source
Proactive Disclosure - Grants and Contributions

Amendments

Each version of the agreement as published, oldest first, with its total as of that version. The amount above is the latest.

AmendmentDateFiscal YearTotal
02025-02-012024-25$316,140.00
12025-02-012024-25$316,140.00

As published

Additional Information
This agreement has been amended 1 time(s). The end date of this agreement has been modified by 366 days.
Additional Information (French)
Cet accord a été modifié 1 fois. La date de fin du présent accord a été changé de 366 jours.
Agreement End Date
2028-03-31
Agreement Number
1027810
Agreement Start Date
2025-02-01
Agreement Title
Automated Robotic Inspection of Construction Sites for Quality Assurance
Agreement Title (French)
Inspection automatisée des chantiers de construction par la robotique aux fins d’assurance de la qualité
Agreement Type
Grant
Agreement Value
$316,140.00
Amendment Date
2026-06-19
Amendment Number
1
Description
Automated Quality Assurance and Quality Control (QA/QC) will be developed using autonomous robots. Specifically, algorithms that will enable robots to autonomously scan a construction site while avoiding workers to gather camera and LiDAR data will be developed. This data will be compared with BIM 3D design models to identify discrepancies between designed and builtconfigurations and flag mistakes. These algorithms will be implemented in software and demonstrated in a laboratory environment on ground and aerial robots.
Description (French)
L’idée consiste à automatiser l’assurance et le contrôle de la qualité (AQ/CQ) avec des robots autonomes. Plus précisément, on élaborera des algorithmes qui permettront à des robots de parcourir de façon autonome un chantier en évitant la main-d’œuvre en vue de recueillir des données avec une caméra et un LiDAR. Par la suite, ces informations seront comparées à celles obtenues par modélisation 3D des données du bâtiment de manière à établir les écarts entre la configuration théorique et la configuration réelle et à identifier les erreurs. Enfin, les algorithmes seront intégrés à des logiciels puis on en effectuera la démonstration en laboratoire avec des robots terrestres et aériens.
Expected Results
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Expected Results (French)
À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides.
Federal Riding
Vancouver Quadra
Federal Riding (French)
Vancouver Quadra
Federal Riding Number
59040
NAICS Code
541710
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Name (French)
Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D
Program Purpose
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
Program Purpose (French)
Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires.
Recipient Business Number
108161779
Recipient City
Vancouver|Vancouver
Recipient Country
CA
Recipient Legal Name
The University of British Columbia
Recipient Postal Code
V6T 1Z3
Recipient Province or Territory
BC
Recipient Type
S
Reference Number
172-2024-2025-Q4-1027810