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

TL;DR

This paper reviews the current state and future directions of Embodied AGI, proposing a taxonomy, analyzing foundational challenges, and outlining a framework for advanced embodied AI systems.

Contribution

It introduces a systematic taxonomy of Embodied AGI levels and proposes a conceptual framework for developing higher-level embodied AI systems.

Findings

Taxonomy of five Embodied AGI levels (L1-L5)

Analysis of foundational research and challenges at L1-L2

Proposal of a conceptual L3+ robotic brain framework

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.