OpenRoboto @openroboto
Robot intelligence built in the open. Bittensor subnet 80. openroboto.ai RoboVerse Joined March 2022-
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Glad to be backing Exploit Summit. If you are in Montréal Sep 28-29 and care about where robotics intelligence gets built, come find us.
AI learned to write, draw, and code. The physical world is the one it's still struggling to crack. @openroboto is going after it in the open as SN80. Open weights, open data, open benchmarks. Fine-tune the base robotics model, submit on-chain, and the best one becomes everyone's
AI learned to write, draw, and code. The physical world is the one it's still struggling to crack. @openroboto is going after it in the open as SN80. Open weights, open data, open benchmarks. Fine-tune the base robotics model, submit on-chain, and the best one becomes everyone's new starting point. Closed labs hoard their robotics models. This one gets better in public, every single cycle. A silver sponsor of Exploit 🤖luma.com/exploitsummit26
Thanks for featuring us!
Announcing our partnership with @OpenRoboto as Axis Robotics expands its data capabilities into the @opentensor ecosystem OpenRoboto is an open competition on Bittensor (Subnet 80) for continuously improving robotics models. Miners fine-tune an open base model starting from π0.5, every submission is scored in randomized LIBERO-Pro environments, and only a strictly better model becomes the new base. As the core data engine behind OpenRoboto, Axis is supplying over 3 million multi-modal trajectories into OpenRoboto’s Open Data Pool to accelerate physical AI model training for miners across the Bittensor network. Furthermore, Axis will support OpenRoboto's authoritative benchmarking platform with its Data-to-Model Pipeline, enabling robust, auditable evaluation for both data and models across multiple benchmarks. This partnership establishes a robust, end-to-end framework uniting distributed data collection with verifiable model evaluation. Learn more about OpenRoboto: openroboto.ai
@Apex_SN1 @EdwardMcDonne12 Let’s cook 🧑🍳🧑🍳
Bittensor brings 'worldwide contest-o-nomics' to robot AI development. Which, hilariously, may mean humanoid AND other robotic efforts may soon find $TAO powering their leading edges.
Open weights were never the hard part. Open data is. The Open Data Pool is live, with Axis Robotics @axisrobotics as launching partner. openroboto.ai/#/datapool
Open weights were never the hard part. Open data is. The Open Data Pool is live, with Axis Robotics @axisrobotics as launching partner. openroboto.ai/#/datapool
🤝🤝
Decentralized robotics intelligence needs open data infrastructure to scale. Congrats to @openroboto on launching the Open Data Pool on @opentensor. As OpenRoboto enables open data access and model evaluation, @axisrobotics is powering the pipeline beneath with our compounding
Decentralized robotics intelligence needs open data infrastructure to scale. Congrats to @OpenRoboto on launching the Open Data Pool on @opentensor. As OpenRoboto enables open data access and model evaluation, @axisrobotics is powering the pipeline beneath with our compounding data engine. More soon 🤝
Open weights were never the hard part. Open data is. The Open Data Pool is live, with Axis Robotics @axisrobotics as launching partner. openroboto.ai/#/datapool
@axisrobotics @opentensor Excited for what's coming next!
This is not just about better fine-tuning. If the pool gets big enough, we can pretrain our own base model from scratch. That will take years, and we are not claiming it today. Docs and quickstart → openroboto.ai/#/datapool
Axis collects this data without expensive hardware. Contributors teleoperate simulated arms straight from a browser, and capture real-world manipulation on a phone using hand pose tracking.
@cypherweb024 Thanks for the detailed introduction!
We use π0.5, developed by @physical_int, as the base model for the OpenRoboto competition. It’s one of the strongest open VLA base models for robot manipulation today. Training a robotics base model from scratch requires enormous amounts of diverse data. Rather than starting from zero, miners build on π0.5 and compete to improve it. This gives every miner a strong shared model to start from. See how it works: github.com/openroboto-ai/…
Thanks for featuring us! Cooking now.
The website now includes Brand Assets, mobile navigation, and a more complete Queue result view.
We also updated the model submission rules and documentation: - Submit a complete merged checkpoint - Bare LoRA adapters will not pass pre-check - Use `rt.py submit` to run upload, burn, and announce consecutively - Check Scan Rejections to diagnose failed submissions - The 0.01 challenger margin applies to the overall average score
Over the past week, OpenRoboto shipped updates across the website, submission system, and benchmark evaluation pipeline. Miners can now follow a submission from queue entry through live evaluation progress, final scoring, or rejection. Check out our tech update for the past week:
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