A Survey on Robotics with Foundation Models: toward Embodied AI
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Abstract (arXiv)
While the exploration for embodied AI has spanned multiple decades, it remains a persistent challenge to endow agents with human-level intelligence, including perception, learning, reasoning, decision-making, control, and generalization capabilities, so that they can perform general-purpose tasks in open, unstructured, and dynamic environments. Recent advances in computer vision, natural language processing, and multi-modality learning have shown that the foundation models have superhuman capabilities for specific tasks. They not only provide a solid cornerstone for integrating basic modules into embodied AI systems but also shed light on how to scale up robot learning from a methodological perspective. This survey aims to provide a comprehensive and up-to-date overview of foundation models in robotics, focusing on autonomous manipulation and encompassing high-level planning and low-level control. Moreover, we showcase their commonly used datasets, simulators, and benchmarks. Importantly, we emphasize the critical challenges intrinsic to this field and delineate potential avenues for future research, contributing to advancing the frontier of academic and industrial discourse.
Key facts. Cited by 53 papers in the map (data through 7 Oct 2026). Builds on 57 of its 63 references that are in the map. First posted on arXiv 4 Feb 2024.
Builds on
57 of 63 references.
References · 57
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Citing papers per year: 2024: 11; 2025: 32; 2026: 10.
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- 2025Reinforced Reasoning for Embodied Planning28 May 2025
- 2025Online Reasoning Video Segmentation with Just-in-Time Digital Twins27 Mar 2025
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- 2025Adversarially-Refined VQ-GAN with Dense Motion Tokenization for Spatio-Temporal Heatmaps23 Sep 2025
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- 2025Multimodal Data Storage and Retrieval for Embodied AI: A Survey19 Aug 2025
- 2025FlashDP: Private Training Large Language Models with Efficient DP-SGD1 Jul 2025
- 2025Refer to Any Segmentation Mask Group With Vision-Language Prompts5 Jun 2025
- 2025Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World20 May 2025
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12 newest of 19 All 19 (JSON)