The call-a-model pattern that made LLMs easy to build on is reaching physical robots.
This is a dev post classified by AGK Intelligence as Backend & APIs (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
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/PokeB
Posted by Rohan Paul (160.6k followers) 17 h ago · 20 likes · 4.5k views · view the original post on X. Kept by the Dev Radar as Backend & APIs. Tools mentioned: pokebot | 破壳机器人.
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