# New LLMs Are Unlocking Robot-Use Agents

**URL:** <https://www.artofsm.art/t/new-llms-are-unlocking-robot-use-agents/24422>\
**Category:** Content Creators\
**Tags:** y-combinator\
**Created:** [26 September 2026 14:02 UTC](https://www.artofsm.art/t/new-llms-are-unlocking-robot-use-agents/24422 "2026-09-26T14:02:45Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![merefield](https://www.artofsm.art/user_avatar/www.artofsm.art/merefield/32/74_2.png) [@merefield](https://www.artofsm.art/u/merefield)\
**Post date:** [26 September 2026 14:02 UTC](https://www.artofsm.art/t/new-llms-are-unlocking-robot-use-agents/24422/1 "2026-09-26T14:02:45Z")

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[![](https://img.youtube.com/vi/Jv5B5CEaPJI/maxresdefault.jpg "New LLMs Are Unlocking Robot-Use Agents") ](https://www.youtube.com/watch?v=Jv5B5CEaPJI)

Recent advancements in large language models (LLMs) are enabling the development of versatile robot-use agents that can perform complex tasks through improved coding abilities, diverse training data, and in-context learning without extensive retraining. Researchers anticipate that within the next two years, these general-purpose robots will understand natural language instructions and operate at human-teenager levels, driven by ongoing innovations in model efficiency, skill consolidation, and multi-modal data integration.