Hello | Bonjour
Postdoctoral Fellow
Computer Science (Robotics)
Born and raised in Belgium, I received the master's degree in electromechanical engineering (mechatronics) in 2019 from the Université Catholique de Louvain. During the fall semester of 2018, I was with the Université de Sherbrooke, as a Visiting Student. I moved to Canada in 2019 and I earned the Ph.D. degree in mechanical engineering (robotics) in 2023 from the Université de Sherbrooke under the supervision of Prof. Alexis Lussier Desbiens, with the Createk Design Lab. I was a postdoctoral fellow in the same lab until 2024. I am currently a postdoctoral fellow in computer science (robotics) at McGill University, under the supervision of Prof. David Meger, with the Mobile Robotics Lab (MRL) - Centre for Intelligent Machines (CIM).
Born and raised in Belgium, I received the master's degree in electromechanical engineering (mechatronics) in 2019 from the Université Catholique de Louvain. During the fall semester of 2018, I was with the Université de Sherbrooke, as a Visiting Student. I moved to Canada in 2019 and I earned the Ph.D. degree in mechanical engineering (robotics) in 2023 from the Université de Sherbrooke under the supervision of Prof. Alexis Lussier Desbiens, with the Createk Design Lab. I was a postdoctoral fellow in the same lab until 2024. I am currently a postdoctoral fellow in computer science (robotics) at McGill University, under the supervision of Prof. David Meger, with the Mobile Robotics Lab (MRL) - Centre for Intelligent Machines (CIM).
My research focuses on designing efficient behaviors and strategies for intelligent robots in various applications, including navigation, exploration, inspection, and recognition. I aim to contribute to the advancement of the field by designing and optimizing novel algorithms and models that enable robots to perform complex tasks in real-world environments. My research involves a combination of path planning, optimization, decision-making, machine learning, computer vision, and other robotics techniques. By addressing challenges related to efficiency, robustness, and safety, I hope to enable the widespread use of intelligent robots in diverse applications, from aiding society (e.g., search and rescue, infrastructure inspection, advanced driver-assistance systems) to fostering sustainable development (e.g., seabed mapping, endangered plants monitoring).
My research focuses on designing efficient behaviors and strategies for intelligent robots in various applications, including navigation, exploration, inspection, and recognition. I aim to contribute to the advancement of the field by designing and optimizing novel algorithms and models that enable robots to perform complex tasks in real-world environments. My research involves a combination of path planning, optimization, decision-making, machine learning, computer vision, and other robotics techniques. By addressing challenges related to efficiency, robustness, and safety, I hope to enable the widespread use of intelligent robots in diverse applications, from aiding society (e.g., search and rescue, infrastructure inspection, advanced driver-assistance systems) to fostering sustainable development (e.g., seabed mapping, endangered plants monitoring).
MOAR Planner: Multi-Objective and Adaptive Risk-Aware Path Planning
TAPE: Tether-Aware Exploration Algorithm for a Tethered Robot
RRT-Rope: Path Planning Algorithm for Large Environments
Visual Recognition for the Audi e-tron Production
Game Strategy for an Autonomous Robot at Eurobot
RRT-Rope
MOAR Planner