MBSE for Modeling, Evaluation, and Optimization of Modular Robotic Systems: Case Study on AIS

Since 1960, System engineering has been used as an approach for multidisciplinary and concurrent design of complex systems. It relies on a system-centered thinking to solve problems and different design process models have been used for system engineering such as V-model. Model-based System engineering (MBSE) was developed to replace documents with models. AIS is developing […]

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The Narreme Engine: A Tool for Narrative Analysis and Construction

In my PhD dissertation, I proposed a renewed theory of the “narreme” – the minimum basic unit of narrative structure, a concept which originated in the 1960s but which has been largely neglected since then. I suggested that a Narreme Theoretic approach could be tremendously useful not only for the purposes of narrative analysis, but […]

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The Narreme Engine: A Tool for Narrative Analysis and Construction – Year two

In my PhD dissertation, I proposed a renewed theory of the “narreme” – the minimum basic unit of narrative structure, a concept which originated in the 1960s but which has been largely neglected since then. I suggested that a Narreme Theoretic approach could be tremendously useful not only for the purposes of narrative analysis, but […]

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Evaluation of the implementation at scale of a public health intervention to promote social and emotional development in the early years in British Columbia

British Columbia’s Ministry of Mental Health and Addictions has identified healthy social and emotional development (SED) in early childhood as a priority action towards addressing the province’s mental health crisis. In response, ChildHealth BC (CHBC) is developing a multi-component provincial intervention to expand the capacity of caregivers to promote SED in young children- the first […]

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Visualizing information in situ with 3D photorealistic environments

Advances in computer graphics and display technology have brought new opportunities to create stunning visual effects and interactive experiences. Industry concerned with data visualization is seeking to incorporate these advances into their visualization pipelines. For example, our industrial partner LlamaZOO Interactive Inc. attempts to present abstract data situated in 3D realistic scenes. However, most research […]

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Acceptabilité, utilisabilité et efficacité de robot de télé-présence pour atténuer les effets de l’isolement social chez les personnes âgées

Les mesures barrières recommandées par la santé publique pour limiter la propagation de la COVID-19 impliquent confinement et distanciation sociale; ce qui accentue l’isolement et la sédentarité des personnes âgées. En situation de confinement, les personnes âgées sont isolées et déconnectées de leurs liens sociaux habituels. Cet isolement social a un impact important sur la […]

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Optimization add-on to MarcotteDispatch

MarcotteDispatch is a software for concrete truck delivery. Dispatchers use this software to plan, schedule their deliveries and follow the truck status in real-time. However, all decisions regarding the scheduling are based on dispatchers’ expertise, which is not optimal from an optimization standpoint. The problem of concrete truck delivery has been studied in the past. […]

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CubeHX

As a Startup, with a new business model due to covid, this project will allow us to understand how to tackle the growth opportunity with our new SaaS platform CubeGO. CubeGO will need to find customers through online acquisition. Prior to covid, we were an “in-lab” consulting company. Now with Covid, the importance of online […]

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Market Research Intern

COVID-19 has reinforced the importance of Sanctuary’s technology for enabling remote telework with crucial applications in care and food production as well as many other industry verticals. As the technology platform centers around a General Purpose Robot (GPR), the importance of understanding tasks through a general lens allows for the appropriate prioritization of commercial deployments […]

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Machine Learning to Optimize Service Delivery in ENCQOR Distributed Fabric

The 5G network provides an innovation in cloud assets delivery that will transform multiple application domains such as health care, autonomous driving, smart cities, Industry 4.0, etc. Relying on the ENCQOR infrastructure (the first 5G network in Canada), this research will apply machine learning to improve network failure detection and optimize network recovery for continuity […]

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