Back in 2012 when I was a graduate student at the University of Toronto, I was evaluating the performance of a gait transition scheme for a quadruped robot. An artificial neural network created trajectories in real-time, responding to gait changes...
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...
At Quanser we have always held that when teaching controls and mechatronics nothing beats hardware. A well equipped lab where students can get practical experience with actual systems has always been our gold standard solution. However, in these unprecedented times,...
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....
At Quanser we design and manufacture complex systems for universities to help professors jump-start their research programs. In one of my previous blogs, I briefly touched on a question that I’m sure many of our research studio customers have asked...
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...
