Mathieu Labbe

From IntRoLab

Mathieu Labbé, Ph.D., M.Sc.A.

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Coordonnées :
  • Laboratoire IntRoLab, Institut interdisciplinaire d'innovation technologique (3IT), Université de Sherbrooke
  • Courriel : mathieu.m.labbe (at) usherbrooke.ca

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Contact information :
  • IntRoLab laboratory, Interdisciplinary Institute of Technological Innovation (3IT), Université de Sherbrooke
  • Email : mathieu.m.labbe (at) usherbrooke.ca

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Formation

  • 2019-2022 Post-Doctorat en génie électrique, Université de Sherbrooke
  • 2011-2018 Doctorat en génie électrique, Université de Sherbrooke
  • 2009-2010 Maîtrise en génie électrique, Université de Sherbrooke
  • 2004-2008 Baccalauréat en génie informatique, Université de Sherbrooke

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Scholarship

  • 2019-2022 PostDoc in electrical engineering, Université de Sherbrooke
  • 2011-2018 Ph.D. in electrical engineering, Université de Sherbrooke
  • 2009-2010 Master of electrical engineering, Université de Sherbrooke
  • 2004-2008 Bachelor of computer engineering, Université de Sherbrooke

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Prix et distinctions

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Honors and Awards

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Intérêts

  • Robotique mobile
  • Cartographie et localisation simultanées (SLAM)
  • Systèmes temps réel
  • Apprentissage autonome

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Interests

  • Mobile robotic
  • Simultaneous Localization And Mapping (SLAM)
  • Real-time systems
  • Autonomous learning

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Projets

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Projects

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Logiciels "Open Source"

  • RTAB-Map Loop closure detection for Simultaneous Localization and Mapping (SLAM).
  • Find-Object Object detection using SURF/SIFT like features.
  • UtiLite C++ utilities.
  • VVindow A virtual window project: Head tracking using a Kinect for Virtual Reality.
  • SeMoLearning Graph-based Bayesian Sensorimotor Learning.

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Open source softwares

  • RTAB-Map Loop closure detection for Simultaneous Localization and Mapping (SLAM).
  • Find-Object Object detection using SURF/SIFT like features.
  • UtiLite C++ utilities.
  • VVindow A virtual window project: Head tracking using a Kinect for Virtual Reality.
  • SeMoLearning Graph-based Bayesian Sensorimotor Learning.

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<french>== Publications ==</french><english>== Papers ==</english>

  • M. Labbé and F. Michaud, “Multi-Session Visual SLAM for Illumination-Invariant Re-Localization in Indoor Environments,” in Frontiers in Robotics and AI, vol. 9, 2022. (pdf) (Frontiers)
  • M. Labbé and F. Michaud, “RTAB-Map as an Open-Source Lidar and Visual SLAM Library for Large-Scale and Long-Term Online Operation,” in Journal of Field Robotics, vol. 36, no. 2, pp. 416–446, 2019. (pdf) (Wiley)
  • M. Labbé and F. Michaud, “Long-term online multi-session graph-based SPLAM with memory management,” in Autonomous Robots, vol. 42, no. 6, pp. 1133-1150, 2017. (pdf) (Springer)
  • M. Burhanpurkar, M. Labbé, C. Guan, F. Michaud, J. Kelly, “Cheap or Robust? The practical realization of self-driving wheelchair technology,“ in Proceedings of the International Conference on Rehabilitation Robotics (ICORR), 2017.
  • S. Laniel, D. Létourneau, M. Labbé, F. Grondin, J. Polgar, F. Michaud, “Adding navigation, artificial audition and vital sign monitoring capabilities to a telepresence mobile robot for remote home care applications,“ in Proceedings of the International Conference on Rehabilitation Robotics (ICORR), 2017.
  • S. Laniel, D. Létourneau, M. Labbé, F. Grondin, F. Michaud, “Enhancing a beam+ telepresence robot for remote home care applications,“ in Proceedings of the IEEE International Conference on Virtual Rehabilitation (ICVR), 2017.
  • A. Reveleau, F. Ferland, M. Labbé, D. Létourneau, F. Michaud, “Visual representation of interaction force and sound source in a teleoperation user interface for a mobile robot,” in "J. Human-Robot Interaction", vol. 4, no. 2, 2015. (pdf)
  • M. Labbé and F. Michaud, “Online Global Loop Closure Detection for Large-Scale Multi-Session Graph-Based SLAM,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014. (pdf) (IEEE Xplore)
  • M. Labbé and F. Michaud, “Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation,” in IEEE Transactions on Robotics, vol. 29, no. 3, pp. 734-745, 2013. (pdf) (IEEE Xplore)
  • M. Labbé and F. Michaud, “Memory management for real-time appearance-based loop closure detection,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011, pp. 1271–1276. (pdf) (IEEE Xplore)

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Thèse

  • Labbé M. (2019), Cartographie, localisation et planification simultanées en ligne, à long terme et à grande échelle pour robot mobile, Thèse de doctorat, Université de Sherbrooke, Sherbrooke, 122 p. Disponible à: http://hdl.handle.net/11143/14924 (Accédé: 11 Février 2019).

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Thesis

  • Labbé M. (2019). Cartographie, localisation et planification simultanées en ligne, à long terme et à grande échelle pour robot mobile, Ph.D. Thesis. Université de Sherbrooke. Available at: http://hdl.handle.net/11143/14924 (Accessed: 11 February 2019).

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Présentations

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Presentations

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  • M. Labbé, "Cartographie, Localisation et Planification Simultanées ‘en Ligne’, à Long Terme et à Grande Échelle pour Robot Mobile", Université de Sherbrooke, Sherbrooke, December 2018 (slides pdf)
  • M. Labbé, "Simultaneous Localization and Mapping (SLAM) with RTAB-Map", Université Laval, Québec, November 2015 (slides pdf)