LEGENT: Open Platform for Embodied Agents

Despite advancements in Large Language Models (LLMs) and Large Multimodal Models (LMMs), their integration into language-grounded, human-like embodied agents remains incomplete, hindering complex real-life task performance in physical environments. Existing integrations often feature limited open so...

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Hauptverfasser: Cheng, Zhili, Wang, Zhitong, Hu, Jinyi, Hu, Shengding, Liu, An, Tu, Yuge, Li, Pengkai, Shi, Lei, Liu, Zhiyuan, Sun, Maosong
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creator Cheng, Zhili
Wang, Zhitong
Hu, Jinyi
Hu, Shengding
Liu, An
Tu, Yuge
Li, Pengkai
Shi, Lei
Liu, Zhiyuan
Sun, Maosong
description Despite advancements in Large Language Models (LLMs) and Large Multimodal Models (LMMs), their integration into language-grounded, human-like embodied agents remains incomplete, hindering complex real-life task performance in physical environments. Existing integrations often feature limited open sourcing, challenging collective progress in this field. We introduce LEGENT, an open, scalable platform for developing embodied agents using LLMs and LMMs. LEGENT offers a dual approach: a rich, interactive 3D environment with communicable and actionable agents, paired with a user-friendly interface, and a sophisticated data generation pipeline utilizing advanced algorithms to exploit supervision from simulated worlds at scale. In our experiments, an embryonic vision-language-action model trained on LEGENT-generated data surpasses GPT-4V in embodied tasks, showcasing promising generalization capabilities.
doi_str_mv 10.48550/arxiv.2404.18243
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subjects Computer Science - Artificial Intelligence
Computer Science - Computation and Language
Computer Science - Computer Vision and Pattern Recognition
Computer Science - Learning
Computer Science - Robotics
title LEGENT: Open Platform for Embodied Agents
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