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arXiv · 2505.10705

Embodied AI in Machine Learning -- is it Really Embodied?

Matej Hoffmann·Shubhan Parag Patni
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Abstract

Embodied Artificial Intelligence (Embodied AI) is gaining momentum in the machine learning communities with the goal of leveraging current progress in AI (deep learning, transformers, large language and visual-language models) to empower robots. In this chapter we put this work in the context of "Good Old-Fashioned Artificial Intelligence" (GOFAI) (Haugeland, 1989) and the behavior-based or embodied alternatives (R. A. Brooks 1991; Pfeifer and Scheier 2001). We claim that the AI-powered robots are only weakly embodied and inherit some of the problems of GOFAI. Moreover, we review and critically discuss the possibility of cross-embodiment learning (Padalkar et al. 2024). We identify fundamental roadblocks and propose directions on how to make progress.

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Matej Hoffmann, Shubhan Parag Patni. 2025-05-15. Embodied AI in Machine Learning -- is it Really Embodied?. https://arxiv.org/abs/2505.10705

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