University of Manitoba
The Robot Autonomy Lab is committed to advancing the capabilities of mobile robots in real-world environments by integrating machine learning with physics-based modeling. Our research focuses on developing robust, intelligent systems that tackle complex challenges in industries such as transportation, mining, manufacturing, and space exploration. Through collaboration with leading industry partners, we aim to push the boundaries of robotics to create innovative, adaptable, and safe autonomous systems for the future.
Announcement:
The Robot Autonomy Lab (RAL) is seeking talented individuals for one PhD and one MSc position with full financial support!
If you have a passion for robotics, machine learning, and autonomous systems, we encourage you to apply. Please send your CV (max 2 pages)
titled "RAL2025-Application" to J.Wang@umanitoba.ca. You are also welcome to visit me in person at E1-406 for more information.
"The era of robotics has arrived. Everything that moves will one day be autonomous." — Jensen Huang. Come join our lab to make this vision a reality!
I will join the University of Manitoba as a tenure-track Assistant Professor in the Department of Mechanical Engineering starting September 1, 2024.
Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles. Paper. GitHub.
Learning-based model predictive control for improved mobile robot path following using Gaussian processes and feedback linearization. Paper. Field testing.
This tutorial aims to provide an intuitive introduction to Gaussian process regression (GPR). Paper. GitHub.