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title
V-IRL: Grounding Virtual Intelligence in Real Life
description
An open-source framework for embodied agent and open-world computer vision research. Develop practical agents and test foundation models grounded with real street view imagery from around the world.
site name
author
updated
2026-02-17 21:40:24
raw text
V-IRL: Grounding Virtual Intelligence in Real Life V- IRL : Grounding Virtual Intelligence in Real Life An open-source framework for embodied agent and open-world computer vision research. Develop practical agents and test foundation models in virtual real world cities across the globe, grounded with real geospatial data and street view imagery. arXiv pdf Code Authors Jihan Yang △ Runyu Ding △ Ellis Brown ▲ Xiaojuan Qi △ Saining Xie ▲ Affiliations △ University of Hong Kong ▲ New York University Date Feb 5 th , 2024 🔝 (Best viewed in 4K) There's a massive gap between the text-centric digital environments of current AI agents and the sensory-rich world we humans inhabit. To develop agents that can operate flexibly and reliably in real-world settings, we ...
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