Follow our self-diving car team as they prepare for their first competition in April 2018! // Angela Schoellig
Team Bio #3
Mona Gridseth: Senior Autonomy Architect
Mona Is a PhD student in the Autonomous Space Robotics lab at the University of Toronto Institute for Aerospace Studies. Her research focuses on vision-based navigation of mobile robots. Mona previously completed a B.Sc. in computer science at the University of Toronto and a M.Sc. in computing science at the University of Alberta, where she worked with visual servoing of robot arms. She also has one year of software development experience working for Quandl Inc. Mona looks forward to working with the autonomy team over the next few years to develop the algorithms that will allow aUToronto's car to drive itself.
Only 4 DAYS until our July 25th general application deadline! Take a look at today's featured sub-team: Simulation & Experimentation.
Want to actually drive an autonomous vehicle? Feel like developing state-of-the-art simulation software that deals with the latest in computer-vision, neural networks and robotic control systems? The Simulation & Experimentation team works hand in hand with every sub-team in order to validate systems before they’re deployed on the car. It is especially focused on designing and refining simulation algorithms that allow us to observe the vehicle’s virtual behaviour in controlled real-world environments. This is an excellent opportunity to develop validation & testing methodologies for nondeterministic systems and to apply them at a software level.
Two IROS papers (on transfer learning and on planning&control based on feedback-based motion primitives) and one CDC paper (on neural networks as add-on modules for performance improvement) got accepted. Stay tuned for the camera-ready version!!