The Quanser Mobile Robotics Lab provides a seamless solution for institutions seeking to enhance their mobile robotics capabilities. With four cutting-edge QBot Platform mobile robots, each armed with advanced sensors and powerful NVIDIA GPUs, this lab offers a turnkey ecosystem.
Learning control systems can significantly improve the tracking performance and robustness of repetitive systems. Specifically, the iterative learning control (ILC), which follows the concept of learn from mistakes, can offer precise trajectory tracking through adaptive framework. This webinar explain the current cycle feedback ILC for a class of under-actuated system and analyze the...
For decades, Quanser has been providing engineering students with rich interactive learning experiences on hardware in the lab. The COVID-19 crisis has catalyzed the Quanser academic team to deliver a platform that can provide turn-key remote lab experiences overnight. Based on our industry-leading hardware platforms, we have created a suite of virtual plants and curriculum that is interactive...
Over the last decade, Dr. Mascaro has developed a unique hands‐on curriculum for a course in Robot Control at the University of Utah. This curriculum covers the fundamentals of dynamic motion control and force/interaction control.
In this Quanser YOUser webinar, Prof. Shan introduces research on multi-agent systems recently conducted by his research group in the Spacecraft Dynamics, Control, and Navigation Laboratory at York University.
Quanser's Self-Driving Car Research Studio is a highly expandable and powerful platform designed specifically for academic research. It provides tools and components that allow researchers to work with multiple software environments.
This webinar from Quanser covers two main topics. First will be a brief overall view of the challenges and latest developments on making unmanned systems smarter, safer, and more reliable & resilient. The second part of the presentation will introduce some of the new developments and current research.
In this webinar, we will show how to use the MathWorks System Identification Toolbox to identify the model of the system. A PID-based cascade control is then designed to regulate the rotor speed and pitch position. The MathWorks Symbolic Math Toolbox is used in the third-order PID control design.
The Boeing 737 Max crashes further reinforced the importance of safety-critical software design. Training engineers who are qualified and experienced in this field requires a special strategy. We have developed a setup consisting of 2 DOF Inverted Pendulums and two torsional modules using Quanser products to train such engineers.
In this webinar, Dr. Hamke will discuss his student-centric approach to encouraging and supporting engineering students – from undergraduate to graduate level - to find creative solutions in a project-oriented environment. The process will be illustrated with Quanser QDrone-related projects and their solutions.
