Toward Embodied AGI: A Review of Embodied AI and the Road Ahead
This work addresses the problem of advancing embodied AI toward AGI for researchers and developers, but it is incremental as it builds on existing technologies and reviews.
The paper tackles the challenge of developing embodied artificial general intelligence (AGI) by introducing a systematic taxonomy with five levels (L1-L5) and proposing a conceptual framework for an L3+ robotic brain, based on a review of existing research and technologies.
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.