LLMs Tested for Maritime Navigation and COLREG Compliance
A new research paper on arXiv (2608.08281) explores the use of Large Language Models (LLMs) for maritime navigation, focusing on situational understanding and compliance with Collision Regulations (COLREGs). The study constructs a dataset of 50 diverse, real-world navigation scenarios derived from AIS data, labeling each with applicable COLREG rules, recommended actions, and reasoning. The authors evaluate various LLM architectures and sizes to assess their understanding and reasoning capabilities in maritime tasks. Results indicate that the maritime navigation task remains challenging without fine-tuning, even for larger models. The research highlights the potential of LLMs in maritime contexts, though it underscores the need for specialized training to handle the complexities of COLREGs and 'Good Seamanship' practices.
Key facts
- arXiv paper 2608.08281 explores LLMs for maritime navigation
- Dataset of 50 real-world navigation scenarios from AIS data
- Scenarios labeled with COLREG rules, recommended actions, and reasoning
- Various LLM architectures and sizes tested
- Maritime navigation task difficult without fine-tuning
- Includes codified COLREGs and uncodified 'Good Seamanship' practices
- Research compares LLM performance to automotive sector applications
- Results published as new announcement on arXiv
Entities
Institutions
- arXiv