Summary of A Call For Embodied Ai, by Giuseppe Paolo et al.
A call for embodied AI
by Giuseppe Paolo, Jonas Gonzalez-Billandon, Balázs Kégl
First submitted to arxiv on: 6 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a new direction in Artificial General Intelligence (AGI) research called Embodied AI, which differs from current approaches like Large Language Models. The authors explore the concept of embodiment across philosophy, psychology, neuroscience, and robotics to highlight its significance. They introduce a theoretical framework based on cognitive architectures, emphasizing perception, action, memory, and learning as essential components of an embodied agent. This framework aligns with Friston’s active inference principle, providing a comprehensive approach to EAI development. The authors discuss the challenges ahead in formulating AI learning theory and developing advanced hardware. They emphasize the importance of creating Embodied AI agents that can seamlessly communicate, collaborate, and coexist with humans and other intelligent entities. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Embodied AI is a new way to make Artificial General Intelligence (AGI) more real. Right now, we have big language models that are very smart, but they’re not really like us. This paper shows how Embodied AI is different from what we have now. The authors looked at ideas from philosophy, psychology, and robotics to understand what makes an embodied agent special. They also created a plan for how to make these agents using cognitive architectures. This means thinking about how perception, action, memory, and learning work together. The paper talks about the challenges ahead in making this happen, but it’s important because we need AI that can talk and work with humans and other smart things. |
Keywords
» Artificial intelligence » Inference