Jointly proposed by researchers and industry partners, based on expertise, needs, and potential applications - including but not limited to:
CONTROL, AUTONOMY AND NAVIGATION
Vision-based localization and mapping; visual inspection; robust control and machine learning; sensory calibration; fault detection and fault tolerant control
Aerodynamic optimization; maneuverability performance; light-weight structures and materials; flow control
SENSORY FEEDBACK FOR IMPROVED UAV PILOT
Pilot's training; flight simulation; performance assessment, pilot training
TOP 10 RESEARCH HIGHLIGHTS
1. Hugh H.T. Liu - Aircraft Flight Systems and Control
The goal of our research is to bring state-of-the-art control and integration techniques to improve or optimize aircraft systems performance. In the long term, the ‘Flight Systems and Control’ would establish itself as a world-class research laboratory with leading-edge knowledge, facility, and highly qualified personnel. Research interests include flight systems modeling, simulation, and control; multi-vehicle systems estimation and control; and unmanned vehicle systems (UVS) applications.
2. Steven Waslander (Waterloo) - Autonomous aerial and ground vehicles
His research interests are in the areas of autonomous aerial and ground vehicles, simultaneous localization and mapping, nonlinear estimation and control, and multi-vehicle systems. Prof. Waslander currently collaborates with Aeryon Labs, Clearpath Robotics, Nuvation, Raytheon Canada, and is a member of the NSERC Canadian Field Robotics Network. He also acts as the academic advisor to the University of Waterloo Robotics Team and the University of Waterloo Micro Air Vehicle Team, which compete in multiple competitions, including the NASA Sample Return Robot Challenge, the Intelligent Ground Vehicle Competition, the International Autonomous Robot Racing competition and the International Micro-Air Vehicle competition.
3. Tim Barfoot - Autonomous Space Robotics
The purpose of Autonomous Space Robotics Laboratory’s research is to enable space and terrestrial applications of mobile robots. We are currently focussed on developing vision-based navigation to allow mobile robots to drive in outdoor, unstructured environments over long periods of time.
4. Michael Daly (York) - The Development of New Instrumentation and Techniques for Remote Sensing
Our research vision for Lassonde focuses on:
- Creation of research culture that fosters the cross pollination of ideas and disciplines.
- Identification of new, emerging and interdisciplinary research areas; we will build capacity and growth.
- Extensive networking and partnerships, through integrated networking.
- Creation of a critical mass of stakeholders in strategic priority areas.
- Centres of excellence or new Organized Research Units and support of existing vital ones.
- Implementation of independent a vigorous graduate studies within Lassonde to provide flexibility in the admission process, to attract the best students.
- Intensification of our presence in and engagement of the community to raise research awareness and improve recognition and competitiveness of our programs.
5. Peter Grant - Vehicle Simulation
The Vehicle Simulation group conducts research in the area of vehicle simulation with an emphasis on human control. High-fidelity human-in-the-loop simulators find many applications within the aerospace and automotive industry, from the traditional training tools to the more recent use as engineering tools. For training purposes the fidelity of these simulators should be driven by the requirements for effective training. Currently only a rudimentary understanding of the fidelity requirements for effective transfer of training exists, further research is therefore necessary.
6. Jonathan Kelly - Space & Terrestrial Autonomous Robotics Systems
The Space & Terrestrial Autonomous Robotics Systems’ research focuses on developing robust, multisensor perception algorithms that enable robots to operate safely over long periods of time and in challenging environments, for example, on road networks, underground, underwater, in space, and on remote planetary surfaces. The goal is to create highly independent autonomous robotic systems for a wide range of tasks, from exploring the surface of Mars to helping with eldercare here on Earth. A central concept in my work is the notion of introspection and internal model maintenance: successful long-term autonomy will require robots to maintain accurate representations both of the external world and of the state of their own sensors and actuators over time.
7. Philippe Lavoie - Flow Control and Experimental Turbulence
My research lies in the field of turbulence and aerodynamics, primarily from an experimental perspective. I am particularly interested in the study of transitional and turbulent flows, as well as the flow structures and instabilities associated with these phenomena. The focus of my research group is to investigate the fundamental dynamics of fluid flows and how these can be manipulated to improve flow characteristics based on specific problems. For example, the goal might be reducing in skin-friction drag, decreasing noise emission, or enhancing mixing.
8. Angela Schoellig - Dynamic Systems
The Dynamic Systems Lab envisions a new generation of robots that have the ability to sense their environment and intelligently interpret information about it in order to improve their performance. Learning algorithms that can process large amounts of previously collected experience data will allow these robots to operate robustly and reliably in changing and challenging environments.
9. David Zingg - Computational Aerodynamics
My current research is concentrated on applying high fidelity aerodynamic and aerostructural optimization to the design of unconventional low-drag aircraft configurations motivated by the need to reduce greenhouse gas emissions from aircraft.
10. Raquel Urtasun - Machine learning and computer vision.
Raquel Urtasun is the Head of Uber ATG Toronto. She is a world leading expert in machine perception for self-driving cars and is internationally recognized for her work in the area of computer vision, machine learning and robotics. Her research focuses on developing new methods for visual perception for autonomous driving, 3D scene understanding, deep learning and graphical models.