Toward Embodied AGI: A Review of Embodied AI and the Road Ahead

Yequan Wang; Aixin Sun

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arXiv · 2505.14235

Toward Embodied AGI: A Review of Embodied AI and the Road Ahead

Yequan Wang·Aixin Sun

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Abstract

Artificial General Intelligence (AGI) is often envisioned as inherently embodied. With recent advances in robotics and foundational AI models, we stand at the threshold of a new era-one marked by increasingly generalized embodied AI systems. This paper contributes to the discourse by introducing a systematic taxonomy of Embodied AGI spanning five levels (L1-L5). We review existing research and challenges at the foundational stages (L1-L2) and outline the key components required to achieve higher-level capabilities (L3-L5). Building on these insights and existing technologies, we propose a conceptual framework for an L3+ robotic brain, offering both a technical outlook and a foundation for future exploration.

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Yequan Wang, Aixin Sun. 2025-05-20. Toward Embodied AGI: A Review of Embodied AI and the Road Ahead. https://arxiv.org/abs/2505.14235

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