Feb. 9, 2024, 5:43 a.m. | Kento Kawaharazuka Tatsuya Matsushima Andrew Gambardella Jiaxian Guo Chris Paxton Andy Zeng

cs.LG updates on arXiv.org arxiv.org

Recent developments in foundation models, like Large Language Models (LLMs) and Vision-Language Models (VLMs), trained on extensive data, facilitate flexible application across different tasks and modalities. Their impact spans various fields, including healthcare, education, and robotics. This paper provides an overview of the practical application of foundation models in real-world robotics, with a primary emphasis on the replacement of specific components within existing robot systems. The summary encompasses the perspective of input-output relationships in foundation models, as well as their …

application applications cs.ai cs.cv cs.lg cs.ro data education fields foundation healthcare impact language language models large language large language models llms overview paper practical review robot robotics tasks vision vision-language models vlms world

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