Dominic Baril

Dominic Baril

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Expertise: Control, trajectory following, motion modelling, autonomous navigation in winter conditions, ICP

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Dominic Baril is a PhD student at Norlab, under the supervision of Pr. François Pomerleau. He graduated in mechanical engineering at Sherbrooke University in 2018. To complete his bachelor’s, he worked on a major robotic project in collaboration with Exonetik, a company that produces magnetorheological actuators. The project (named ASIMOV) consisted in designing, manufacturing and controlling 2 identic and mechanically independent robotic arms. He also realised an internship in the Createk laboratory under the supervision of Pr. Alexandre Girard. His work on the SNOW project mainly focuses on improving the robustness path-following and motion modelling techniques for mobile robots in harsh winter conditions. He is also a member of the laboratory’s team for the DARPA - Subterranean Challenge.


  • Bachelor’s degree in mechanical Engineering at Sherbrooke University, 2018

  • Master’s in computer science at Laval University (Fast-track to PhD), 2020


Journal Articles

  1. Baril, D., Deschênes, S., Gamache, O., Vaidis, M., LaRocque, D., Laconte, J., Kubelka, V., Giguère, P., & Pomerleau, F. (2021). Kilometer-scale autonomous navigation in subarctic forests: challenges and lessons learned. Field Robotics.
     Bibtex source

Conference Articles

  1. Deschênes, S.-P., Baril, D., Kubelka, V., Giguère, P., & Pomerleau, F. (2021). Lidar Scan Registration Robust to Extreme Motions. 2021 18th Conference on Robots and Vision (CRV).
     PDF Publisher  Bibtex source
  2. Baril, D., Grondin, V., Deschenes, S., Laconte, J., Vaidis, M., Kubelka, V., Gallant, A., Giguere, P., & Pomerleau, F. (2020). Evaluation of Skid-Steering Kinematic Models for Subarctic Environments. 2020 17th Conference on Computer and Robot Vision (CRV), 198–205.
     PDF Publisher  Bibtex source