Damien LaRocque is a master student at Norlab, under the supervision of Pr. François Pomerleau.

He graduated with a bachelor’s degree in Electrical Engineering at the Université de Moncton in 2020. During his bachelor’s degree, he actively contributed to the Groupe de Robotique de Université de Moncton (GRUM), whose goal is to design autonomous mobile robots to represent Canada at the international robotics competition Eurobot. With the GRUM, he has developed computer vision and localization algorithms allowing their robots to accomplish agility tasks and accumulate points against teams from around fifteen countries.

He also completed an internship at Laboratoire de robotique de l’Université Laval under the supervision of Pr. Clément Gosselin.

His work on the SNOW project mainly consists in improving and developing path planning methods for autonomous navigation of mobile robots in complex winter conditions.

Education

• Bachelor’s degree in Electrical Engineering from University of Moncton, 2020

Publications

Journal Articles

1. Baril, D., Deschênes, S.-P., Gamache, O., Vaidis, M., LaRocque, D., Laconte, J., Kubelka, V., Giguère, P., & Pomerleau, F. (2022). Kilometer-scale autonomous navigation in subarctic forests: challenges and lessons learned. Field Robotics, 2(1), 1628–1660. https://doi.org/10.55417/fr.2022050
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Conference Articles

1. LaRocque, D., Guimont-Martin, W., Duclos, D.-A., Giguère, P., & Pomerleau, F. (2024). Proprioception Is All You Need: Terrain Classification for Boreal Forests. ArXiv Preprint ArXiv:2403.16877, Accepted to the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). https://doi.org/10.48550/arXiv.2403.16877 Accepted
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2. Vaidis, M., Dubois, W., Daum, E., LaRocque, D., & Pomerleau, F. (2023). Uncertainty analysis for accurate reference trajectories with robotic total stations. Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS). https://ieeexplore.ieee.org/abstract/document/10341529 Accepted for oral presentation
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