SkillNav: Score-Level Skill Intervention for Zero-Shot Object Goal Navigation
SkillNav is a new behavioral skill framework for vision-language model (VLM)-based navigation that leverages curiosity value maps as writable memory, enabling composable skills without retraining. The method introduces a tiered skill intervention system and achieves state-of-the-art SPL on MP3D (25.5), HM3D v0.1 (39.3), and HM3D v0.2 (43.2), with improvements of up to 6.0 SPL over previous methods. SkillNav also attains the highest reported Success Rate on HM3D v0.1 (69.7) and v0.2 (75.9).
Why it matters: SkillNav enables continual, training-free improvement of navigation agents by allowing new skills to be added without retraining, advancing the flexibility and practicality of embodied AI systems.
Full story at: arXiv Robotics ↗