Zeying-Gong/ascent
[RAL‘26] Stairway to Success: An Online Floor-Aware Zero-Shot Object-Goal Navigation Framework via LLM-Driven Coarse-to-Fine Exploration
This project helps autonomous robots navigate complex indoor environments to find specific objects, even across different floors, without needing prior training for that exact object or location. It takes in a general object description and a 3D environment map, then outputs a navigation path for the robot to successfully locate the item. This tool is for robotics engineers and researchers working on advanced autonomous navigation systems for service robots or exploration.
Use this if you need an autonomous robot to find a specified object in a multi-floor indoor setting without pre-training for every possible target.
Not ideal if your robot operates solely on a single floor or if you have a fixed set of target objects that can be pre-programmed.
Stars
84
Forks
4
Language
Python
License
MIT
Category
Last pushed
Jan 11, 2026
Commits (30d)
0
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