News
- 08/2024: Accepted for UW + Amazon Science Hub Fellowship (1 year of funding)
- 06/2024: Starting my internship with the PRIOR team at Allen Institute for AI (AI2)
- 01/2024: "Selective Visual Representations Improve Convergence and Generalization for Embodied-AI" has been accepted as ICLR 2024 [Spotlight, 5%]
- 06/2023: Starting my internship with the PRIOR team at Allen Institute for AI (AI2)
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The One
RING
: a Robotic Indoor Navigation Generalist
Ainaz Eftekhar,
Luca Weihs,
Rose Hendrix,
Ege Caglar,
Jordi Salvador,
Alvaro Herrasti,
Winson Han,
Eli VanderBilt,
Aniruddha Kembhavi,
Ali Farhadi,
Ranjay Krishna
Kiana Ehsani*,
Kuo-Hao Zeng*
under submission
project page
/
arXiv
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code [coming soon]
RING is an embodiment-agnostic policy, trained solely in simulation with diverse randomly initialized embodiments at scale.
RING generalizes to diverse real-world embodiments despite being trained exclusively in simulation without access to the real robot configurations.
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