I spent a fair bit of time working in the oil and gas industry where you come across many sophisticated control systems. Given the complexity and interconnectivity of those systems, it is often operationally and financially undesirable or even unsafe...
Reinforcement learning (RL) is a subset of Machine Learning that uses dynamic data, not static data like unsupervised learning or supervised learning. Reinforcement learning is used in many different applications, such as training computer programs to perform certain tasks to autonomous vehicles....
Prior to joining Quanser I was a graduate student at U of T’s Institute for Aerospace Studies. In this blog I thought I share my experience taking their Robotics (AER 525) course as a grad student as well as developing...
Modelling a DC servomotor is one of the common examples used in control system textbooks and courses. Given that so many systems use DC motors, e.g. robot manipulator arms, it’s an important exercise to go through as well. If you...
I consider myself lucky to seemingly have an endless opportunity to work on really cool projects at Quanser. And sometimes, few of those projects turn into something special. This was the case when I was introduced to Sam Stubblefield and Joshua Borsman. Two...
With over a decade of presence in Brazil, Quanser products are used by over 30 institutions in South America’s largest country. Like other universities around the world, Brazilian engineering schools had to find innovative ways to offer laboratory courses remotely...
