MAG-Nav uses active viewpoint selection and memory replay with GPT-4o to achieve state-of-the-art 40.8% success in zero-shot language-driven object navigation on GOAT-Bench/HM3D.
Object goal navigation using goal-oriented semantic exploration,
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MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding
MAG-Nav uses active viewpoint selection and memory replay with GPT-4o to achieve state-of-the-art 40.8% success in zero-shot language-driven object navigation on GOAT-Bench/HM3D.