The opportunity is clear.
The technology is ready.
Arctic shipping routes are growing fast — cutting voyage distances by up to 40% compared to traditional passages. But ice navigation remains one of the most demanding challenges in maritime operations, relying heavily on human expertise under extreme conditions.
Advances in AI-driven path planning, real-time sensor fusion, and autonomous decision-making can make ice navigation safer, more efficient, and accessible to a broader range of vessels — while reducing fuel consumption and crew risk.
Our team of robotics and AI researchers at Mila – Quebec AI Institute has published peer-reviewed work on autonomous ice navigation, including AUTO-IceNav — a real-time path planning system for ships in ice, validated in physical trials at the NRC Offshore Engineering Basin and published in IEEE Transactions on Robotics (2025) and IEEE International Conference on Robotics and Automation (2023).