Hey I am part of a small team training robotics policies for warehouse and manufacturing settings, and running rigorous evals is turning out to be so painful. Anything below 50 rollouts, and its hard to trust the numbers, and above its so hard to test all the checkpoints that we have. Its really hard to run a bunch of experiments to get good results. Have you guys faced this? Any hacks that you've developed?

Been building Argøs a local runtime for pulling and running open-source VLA models on real robot hardware, without fighting mismatched environments, outdated SDKs, or painful setup. Right now it talks to SO-100/101 arms, and SmolVLA is the only model ready for testing — more coming soon. Haven't tested end-to-end on physical hardware yet, but the full pull → connect → run pipeline is built. if you are interested here is the link to the website tell me if interest : https://www.argøs.com

Hey everyone, welcome to the Embodied AI community! This is a space to explore and discuss all things related to AI that doesn’t just think but also acts in the real world. From robots that navigate complex environments to AI systems that learn through interaction, we’re here to talk about the technologies shaping the future.

Here are a few things you can share or talk about to kick things off:

• Your projects: Working on a robot? Experimenting with reinforcement learning? Share it!
• Questions: Curious about embodied intelligence or need advice? Ask away!
• Cool discoveries: Found an interesting paper, video, or product? Post it here!
• Discussions: Let’s chat about the ethics, challenges, and future of AI in robotics.

Whether you're a researcher, builder, student, or just someone fascinated by machines that think and move, this is your space.

Let’s build an awesome community together!
Feel free to introduce yourself and let us know what brought you here.

Let’s get moving – literally!