PrecisionHawk is a company leading the development and application of Unmanned Aerial Vehicles (UAVs) in the mapping, resource management and service industries, particularly in precise, high-density mapping and monitoring of valuable assets and resources. Typically, due to their weight and size, UAVs are used as simple data gathering tools where data is post-processed on high-power hardware. Such practices often conceal issues with coverage and quality, and limits applications of repeat mapping and faster turnaround that are critical to the value this technology provides.
Currently, when man-made objects in orbit around the Earth need to be disassembled or repaired, a humancontrolled robotic manipulator is used. The object in question is often not designed to be modified in this manner, and only 1 in 4 human operators at MDA (the partner organization) are able to successfully complete these notoriously challenging tasks. The goal of the proposed project is to design a computer program to learn from the successful human operators with the end result being a novel artificial intelligence that can perform these repairs autonomously, i.e.
This proposed research aims to test durability of doors of furniture and home appliances as well as drawers of the earlier by using robot manipulator to evaluate the quality and life-cycle of these products. Durability testing allows manufacturers to ensure product quality according to industry standards which gives them competitive edge through value-added brands. It also boosts their confidence on the aptness of their product, which in turn minimizes the chances of returned-products.
In this project we will evolve the design of the Sinclair Interplanetary (SI) ST-16 small satellite star tracker (SSST). With this redesign we wish to improve the sensor accuracy by an order of magnitude, while maintaining a slew tolerance of up to 1 deg/sec, with >99% availability.. For clarity, in this proposal we will refer to the improved star tracker design as the ST-20. The new design will feature improvements to the sensors optics, sensor processing algorithms, and calibration and focusing procedures.
In concert with Sinclair Interplanetary (SI), we are proposing a MITACS Elevate Postdoctoral Fellowship for Mr. Tom Dzamba under the supervision of Prof. John Enright, a researcher at Ryerson University. In the course of this fellowship, Mr. Dzamba will lead the redevelopment of the SI ST-16 star tracker in order to improve its measurement accuracy by a factor of ten. The ST-16 is a small instrument that allows a spacecraft to make precise measurements of its own orientation. Dr. Enright and Mr.
Lightweight Composite Consoles for Aerospace Applications: Carbon fiber composites used in aerospace applications are subjected to harsh environments while in service. In particular, structural components are often exposed to oils, fuels and hydraulic fluids. Over time, these contaminants may affect the material properties of the composites and thus, the mechanical behavior of the components. This project will investigate the effect of various contaminants and combined stress environments on composite materials used in aerospace applications.
Cette recherche vise à développer des programmes informatiques qui permettront l’étude des débits de puissance réactive et des procédés de combustion dans les turbines à gaz. La combustion est en soi un processus multi-échelles qui engage une grande variété de phénomènes physiques et chimiques complexes, ainsi qu’une panoplie d’échelles spatiales et temporelles.