Maëlle Mathieu is a Master's student in computer engineering at Polytechnique Montréal, supervised by Professor Giovanni Beltrame. She received her Bachelor's degree in aerospace engineering in May 2025. She is interested in autonomous robotics and space exploration.
Current Work
- Language-guided mission planning for autonomous aerial manipulation — developing systems that enable robots to interpret high-level objectives and translate them into structured, adaptive task sequences, closing the loop between natural language understanding and autonomous physical manipulation under strict onboard compute constraints.
- Markerless precision localization for aerial robotic manipulation — designing multi-modal sensor fusion architectures that provide robust, sub-centimeter pose estimation from a moving aerial platform in unstructured environments, enabling precise autonomous manipulation without reliance on controlled conditions or artificial landmarks.
- Semantic 3D world representations for autonomous manipulation — constructing rich, language-queryable maps of physical environments by fusing geometric reconstruction with semantic reasoning, enabling robots to autonomously identify, understand, and select objects for manipulation through open-vocabulary perception directly onboard.
Contact
Reach Maëlle at maelle.mathieu@etud.polymtl.ca.