ajzhai/PEANUT
[ICCV 2023] PEANUT: Predicting and Navigating to Unseen Targets
This project helps researchers and engineers develop and evaluate autonomous navigation systems for robots in complex indoor environments. It takes detailed 3D scene data and object goal information, then provides tools to predict unseen target locations and guide a robot to them. This is primarily for robotics researchers or AI developers working on object navigation tasks.
No commits in the last 6 months.
Use this if you are developing or testing robotic systems that need to find and navigate to specific objects in a realistic, previously unmapped 3D environment.
Not ideal if you are looking for a plug-and-play solution for a physical robot or do not have experience with simulated robotics environments and Docker.
Stars
56
Forks
5
Language
Python
License
MIT
Category
Last pushed
Mar 05, 2024
Commits (30d)
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