@rohanpaul_ai: The call-a-model pattern that made LLMs easy to build on is reaching physical robots. > Until now, getting a robot mode…

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Summary

PokeBot introduces RoboAPI, powered by its Poke-Aurora world-action model, allowing owners of 5 supported robot arms to send natural-language commands via a simple API at 30Hz — no task-specific data collection or training required.

The call-a-model pattern that made LLMs easy to build on is reaching physical robots. > Until now, getting a robot model working on your own arm meant collecting data and training for each task. PokeBot’s RoboAPI lets owners of 5 supported arms skip that and send typed commands instead. > It’s an API for robot arms, much like an LLM API for text: the arm’s camera image goes to PokeBot’s servers, and Poke-Aurora sends back movements the arm executes at 30Hz. This is a great progress towards zero-shot robotics, the instruction is the only thing that changes between tasks. https://x.com/PokeBot_Global/status/2115864192402256335/video/1…
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Cached at: 10/30/26, 05:17 PM

The call-a-model pattern that made LLMs easy to build on is reaching physical robots.

Until now, getting a robot model working on your own arm meant collecting data and training for each task. PokeBot’s RoboAPI lets owners of 5 supported arms skip that and send typed commands instead.

It’s an API for robot arms, much like an LLM API for text: the arm’s camera image goes to PokeBot’s servers, and Poke-Aurora sends back movements the arm executes at 30Hz.

This is a great progress towards zero-shot robotics, the instruction is the only thing that changes between tasks.

https://x.com/PokeBot_Global/status/2115864192402256335/video/1…

PokeBot (@PokeBot_Global): Don’t trust demos. Try it yourself. Introducing RoboAPI, powered by Poke-Aurora, our world-action model. Give compatible robots natural-language instructions through a simple API. No task-specific training. More information:

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