Toward Embodied AGI: A Review of Embodied AI and the Road Ahead
Abstract
A taxonomy of Embodied AGI is introduced, spanning five levels, with a focus on the foundational stages and key components for higher-level capabilities, including a conceptual framework for an L3+ robotic brain.
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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