Louis Petit

Louis Petit

Professor

Research topics

  • Autonomous aerial robots and UAV path planning
  • Risk-aware and multi-objective navigation for infrastructure inspection
  • Tethered aerial robots for exploring confined spaces such as mines and cavities
  • Off-road traversability estimation and topological navigation
  • Learning-based sampling and environmental mapping
  • Human-AI decision-making
  • Agriculture and environmental monitoring with computer vision

Publications

FLINT: Fast Lightweight Inference for Traversability.

FLINT: Fast Lightweight Inference for Traversability.

Bonilla, W., Boisvert, M., Poissant, D., Meger, D. & Petit, L.

(under review) 2027 IEEE International Conference on Robotics and Automation (ICRA) (2027)

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No Need for Learning to Defer? A Training Free Deferral Framework to Multiple Experts through Conformal Prediction.

No Need for Learning to Defer? A Training Free Deferral Framework to Multiple Experts through Conformal Prediction.

Bary, T., Macq, B. & Petit, L.

(under review) 2027 AAAI Conference on Artificial Intelligence (2027)

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Learning to Sample: A Reinforcement Learning Framework for Aquatic Environmental Mapping.

Learning to Sample: A Reinforcement Learning Framework for Aquatic Environmental Mapping.

Alhosh, J., Tremblay, J., Wiltzer, H., Bodzay, E., Petit, L. & Meger, D.

(under review) IEEE Robotics and Automation Letters (RA-L) (2027)

ARENA: Adaptive Risk-aware Navigation for Autonomous Aerial Inspection.

ARENA: Adaptive Risk-aware Navigation for Autonomous Aerial Inspection.

Poissant, D., Desbiens, A.L., Ferland, F. & Petit, L.

(under review) IEEE Robotics and Automation Letters (RA-L) (2027)

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DDS-Mamba-YOLO: Improved adaptive state-space modeling for tomato fruit and leaf disease detection.

DDS-Mamba-YOLO: Improved adaptive state-space modeling for tomato fruit and leaf disease detection.

Zhu, J., Bary, T., Petit, L. & Sun, S.

Smart Agricultural Technology (2026)

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Topological mapping for traversability-aware long-range navigation in off-road terrain.

Topological mapping for traversability-aware long-range navigation in off-road terrain.

Tremblay, J., Alhosh, J., Petit, L., Lotfi, F., Landauro, L. & Meger, D.

2025 IEEE International Conference on Robotics and Automation (ICRA) (2025)

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MOAR Planner: Multi-Objective and Adaptive Risk-Aware Path Planning for Infrastructure Inspection with a UAV.

MOAR Planner: Multi-Objective and Adaptive Risk-Aware Path Planning for Infrastructure Inspection with a UAV.

Petit, L. & Desbiens, A.L.

2024 IEEE International Conference on Robotics and Automation (ICRA) (2024)

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Enabling Efficient Autonomous Exploration of Unknown Underground Mining Stopes using a Tethered Aerial Robot

Enabling Efficient Autonomous Exploration of Unknown Underground Mining Stopes using a Tethered Aerial Robot

Petit, L.

PhD thesis, Université de Sherbrooke (2023)

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TAPE: Tether-Aware Path Planning for Autonomous Exploration of Unknown 3D Cavities Using a Tangle-Compatible Tethered Aerial Robot.

TAPE: Tether-Aware Path Planning for Autonomous Exploration of Unknown 3D Cavities Using a Tangle-Compatible Tethered Aerial Robot.

Petit, L. & Desbiens, A.L.

IEEE Robotics and Automation Letters (RA-L) (2022)

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RRT-Rope: A Deterministic Shortening Approach for Fast Near-optimal Path Planning in Large-Scale Uncluttered 3D Environments.

RRT-Rope: A Deterministic Shortening Approach for Fast Near-optimal Path Planning in Large-Scale Uncluttered 3D Environments.

Petit, L. & Desbiens, A.L.

2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2021)

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