Matěj Boxan is currently a Ph.D. candidate in Norlab laboratory supervised by Prof. François Pomerleau at Université Laval, and he is a member of Norlab. He graduated from Czech Technical University in Prague with both bachelor’s and master’s degrees in Cybernetics and Robotics in 2020 and 2022, respectively. During his undergraduate years, Matěj spent one semester on an ERASMUS stay at Grenoble INP-UGA and worked at Kassow Robots, a company developing and manufacturing 7-axes collaborative robots. During the spring and summer of 2022, Matěj visited Norlab, where he wrote his Master’s thesis on the evaluation of different 3D point cloud sampling techniques in the context of featureless environments. After graduating with mention, he returned to Norlab to pursue a Ph.D., focusing on 3D map representation and traversability estimation for UGVs.

Education

• M.Sc. in Cybernetics and Robotics, Distinction Profile, at Czech Technical University in Prague, 2022
• B.Sc. in Cybernetics and Robotics, at Czech Technical University in Prague, 2020

Publications

Conference Articles

1. Gamache, O., Fortin, J.-M., Boxan, M., Vaidis, M., Pomerleau, F., & Giguère, P. (2024). Exposing the Unseen: Exposure Time Emulation for Offline Benchmarking of Vision Algorithms. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 11110–11117. https://doi.org/10.1109/IROS58592.2024.10803057
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2. Deschênes, S.-P., Baril, D., Boxan, M., Laconte, J., Giguère, P., & Pomerleau, F. (2024). Saturation-Aware Angular Velocity Estimation: Extending the Robustness of SLAM to Aggressive Motions. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA). https://arxiv.org/abs/2310.07844
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Miscellaneous

1. Dubois, W., Boxan, M., Laconte, J., & Pomerleau, F. (2024). 3D Mapping of Glacier Moulins: Challenges and lessons learned. In presented to the 2024 Workshop on Field Robotics from IEEE International Conference on Robotics and Automation (ICRA). https://arxiv.org/abs/2404.18790
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2. Gamache, O., Fortin, J.-M., Boxan, M., Pomerleau, F., & Giguère, P. (2024). Field Report on a Wearable and Versatile Solution for Field Acquisition and Exploration. In presented to the 2024 Workshop on Field Robotics from IEEE International Conference on Robotics and Automation (ICRA). https://doi.org/10.48550/arXiv.2405.00199
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3. Boxan, M., Krawciw, A., Daum, E., Qiao, X., Lilge, S., Barfoot, T. D., & Pomerleau, F. (2024). FoMo: A Proposal for a Multi-Season Dataset for Robot Navigation in Forêt Montmorency. In presented to the 2024 Workshop on Field Robotics from IEEE International Conference on Robotics and Automation (ICRA). https://arxiv.org/abs/2404.13166
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4. Boxan, M., & Pomerleau, F. (2023). 3D Point Clouds Reconstruction of Environment Subject to Thin Structures. Colloque REPARTI, Université Laval.
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