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Maoqi Liu

3 accepted papers

2026

NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation

AAAI 2026technical

Accurate interpretation of Notices To Airmen (NOTAMs) is critical for aviation safety, yet their condensed and cryptic language poses significant challenges to both manual and automated processing. Existing automated systems are typically limited to "Shallow Parsing," failing to extract the actionab

Cited by 0SourcePDFScholar
2024

MCLER: Multi-Critic Continual Learning With Experience Replay for Quadruped Gait Generation

RA-L 2024

Quadruped robots are able to traverse most terrains on the earth using a wide variety of gaits, providing solutions for robots to operate in specialized environments. Although existing methods have achieved excellent performance in gait generation, they suffer from catastrophic forgetting and inabil

Cited by 4SourceScholar