Our projects
Most of our projects are supported by different government and research organization such as NSERC, FRQNT, Mitacs, as well as industry sponsors. Support of both industry partners and government funding agencies is graciously acknowledged.
Ongoing Projects
- Multi-UAV Active Simultaneous Localization and Mapping in Unknown Indoor Environments, NOVA – FRQNT-NSERC program, 2023-2026, (in collaboration with McGill and Queen’s)
- This research project aims at addressing several challenges related to the design of efficient and reliable localization, mapping, and exploration algorithms for multi-UAV systems navigating in unknown indoor environments. In particular, the challenge consists in deploying a fleet of UAVs, relaying on vision and inertial systems and endowed with limited on-board computational power, to autonomously navigate and map a completely unknown environment as fast and efficiently as possible. Our proposed solution for this technology challenge consists in the amalgamation of different approaches in control systems and robotics at different levels to coordinate the group of UAVs to accomplish this mission.
- Advancing Autonomy for Unmanned Aerial Vehicles, NSERC Discovery Grant, 2020-2026
- In this research program, we will aim to contribute to the fields of control and robotics to address the crucial issue of autonomy for small-size (miniature) UAVs. Miniature UAVs are man-portable, easy to control, and highly maneuverable which put them on track to be autonomously deployed in a large number of complicated application scenarios. Specifically, we will tackle problems related to localization in challenging conditions, obstacle avoidance in unknown environments, and realtime execution of complex missions.
Implementation of the SVC approach by our intern Quentin G. on the QDrone platform (Summer 2024)
This project explores the application of the SVC method on the QDrone, demonstrating its potential for real-world autonomous flight.
Setting up the QDrone platform by our intern Quentin G. (Summer 2024)
This work involved configuring, calibrating, and preparing the QDrone platform to support future experiments in autonomous flight.
Implementation of the SVC approach by our intern Steve D. on the TurtleBot4 platform (Summer 2024)
The implementation demonstrated how the SVC method can be integrated into mobile robotics, providing insights into control and autonomy on the TurtleBot4.
Dissipative Avoidance Feedback (DAF) : a new approach to reactive obstacle avoidance for second-order dynamics
This approach introduces a dissipative feedback mechanism that enables autonomous agents to react safely and efficiently to obstacles in dynamic environments.
Past Projects
- Development of Autonomous Navigation Systems for Unmanned Aerial Vehicles, Start-Up Grant at UQO, 2020-2022.
