bagh2178/SG-Nav

[NeurIPS 2024] SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation

42
/ 100
Emerging

This project helps roboticists and AI researchers develop autonomous agents that can navigate and find specific objects in complex 3D virtual environments without prior training. You provide the 3D scene data and a target object, and the system guides the agent to locate it, even for novel objects or scenes it hasn't encountered before. It's designed for those building intelligent robots or simulation systems.

323 stars. No commits in the last 6 months.

Use this if you need an autonomous agent to perform zero-shot object navigation in diverse 3D environments without extensive pre-training.

Not ideal if your application requires navigation in real-world physical environments or if you are not working with 3D simulation datasets.

robotics autonomous-navigation 3d-simulation scene-understanding object-localization
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

323

Forks

24

Language

Jupyter Notebook

License

MIT

Last pushed

Sep 16, 2025

Commits (30d)

0

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