VirtualEnv: A Platform for Embodied AI Research
Kabir Swain, Sijie Han, Ayush Raina, Jin Zhang, Shuang Li, Michael Stopa, Antonio Torralba

TL;DR
VirtualEnv is an advanced simulation platform built on Unreal Engine 5 that enables detailed benchmarking of large language models in interactive, embodied scenarios involving object manipulation, navigation, and multi-agent collaboration.
Contribution
It introduces VirtualEnv, a versatile, open-source simulation environment supporting rich interactions and integration with LLMs and VLMs for embodied AI research.
Findings
Benchmarking of LLMs across complex tasks
Analysis of adaptability and multi-agent coordination
Procedural environment generation and validation
Abstract
As large language models (LLMs) continue to improve in reasoning and decision-making, there is a growing need for realistic and interactive environments where their abilities can be rigorously evaluated. We present VirtualEnv, a next-generation simulation platform built on Unreal Engine 5 that enables fine-grained benchmarking of LLMs in embodied and interactive scenarios. VirtualEnv supports rich agent-environment interactions, including object manipulation, navigation, and adaptive multi-agent collaboration, as well as game-inspired mechanics like escape rooms and procedurally generated environments. We provide a user-friendly API built on top of Unreal Engine, allowing researchers to deploy and control LLM-driven agents using natural language instructions. We integrate large-scale LLMs and vision-language models (VLMs), such as GPT-based models, to generate novel environments and…
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Taxonomy
TopicsMultimodal Machine Learning Applications · Social Robot Interaction and HRI · Artificial Intelligence in Games
