Toward Embodied AGI: A Review of Embodied AI and the Road Ahead
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866915295058198528 |
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| author | Wang, Yequan Sun, Aixin |
| author_facet | Wang, Yequan Sun, Aixin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_14235 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Toward Embodied AGI: A Review of Embodied AI and the Road Ahead Wang, Yequan Sun, Aixin Artificial Intelligence 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. |
| title | Toward Embodied AGI: A Review of Embodied AI and the Road Ahead |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2505.14235 |