The world's open robotics lab. Apply now.
bitrobot.ai
Joined November 2024
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1/ Better robot models come from better data.
That takes two things: hardware that captures it fully, and tooling that turns it into training signal.
We built the first. Today, @GroundedSI launches the second: Grounded API. Access both hardware + API ↓
1/ Android users, you’re up.
@ZenO4AI is now on Android. Record everyday tasks for BitRobot missions and earn rewards for approved contributions.
Download the Android app (Android 9+, APK):
app.zen-o.xyz/download/andro…
2/ Sign in to ZenO, record a BitRobot mission in the app, and submit for review.
For approved clips:
- Devices using ARCore: Subnet Points at 50% of the base earning rate.
- No ARCore support: ZenO XP only, no Subnet Points. Web uploads don’t earn Subnet Points.
3/ Set up your BitRobot Bolts account at app.bitrobot.ai.
Use your ZenO email, or link it in Profile Settings on your existing BitRobot Bolts account.
Eligible Subnet Points convert to Bolts at epoch end. Already on ZenO? Use your existing account on Android.
BitRobot 🦾 retweeted
The ZenO Android app is now live.
Record missions with an ARCore-supported Android device and contribute first-person data to the SN/05 subnet with @BitRobotNetwork.
BitRobot subnet reward rates:
- iPhone Pro: 100%
- Non-Pro iPhone: 70%
- ARCore-supported Android: 50%
- Android devices without ARCore: Not eligible for BitRobot rewards
Download the app:
app.zen-o.xyz/download/andro…
Your everyday tasks can help robots learn.
With @ZenO4AI, first-person iPhone recordings pair with ARKit spatial tracking to capture how people move through the world.
Android users, you’re up next. Explore BitRobot’s newest subnet ↓
Your everyday tasks can help robots learn.
With @ZenO4AI, first-person iPhone recordings pair with ARKit spatial tracking to capture how people move through the world.
Android users, you’re up next. Explore BitRobot’s newest subnet ↓
Set up your Lab Access ID to contribute and earn Bolts: app.bitrobot.ai/subnets
More details on how to get started on ZenO nitter.cf/BitRobotNetwork/status…
1/ SN/05 is live on BitRobot, built with @ZenO4AI.
We’re scaling egocentric data with ZenO: first-person iPhone demos of real-world tasks, captured with ARKit spatial tracking and structured for robot learning.
Want to help grow our open robotics network? ↓
We’re heading to CoRL with the best of BitRobot’s ecosystem.
Visit our booth for research lightning talks, hands-on egocentric demos from our partners, and a look at new product prototypes.
@micoolcho will also be taking the stage for a keynote. See you in Austin, Nov 9–11!
BitRobot 🦾 retweeted
We’re excited to announce our collaboration with @BitRobotNetwork, an open robotics network bringing together contributors, data, and infrastructure for Physical AI.
ZenO is launching SN/05 on BitRobot, connecting real-world Physical AI data collected through the ZenO iPhone app with BitRobot’s broader robotics ecosystem.
Through this collaboration, approved data contributions from ZenO can become part of a broader robotics data network, while opening up additional rewards for contributors.
More details below ↓
1/ SN/05 is live on BitRobot, built with @ZenO4AI.
We’re scaling egocentric data with ZenO: first-person iPhone demos of real-world tasks, captured with ARKit spatial tracking and structured for robot learning.
Want to help grow our open robotics network? ↓
5/ Each recording pairs first-person video with iPhone's ARKit spatial tracking, capturing the camera’s position and orientation in 3D, frame by frame.
The video shows hand motions and objects, and the depth information anchors them in real space. Both are key signals for world models and manipulation policies.
6/ Every task you record helps build the open robotics lab. Earn Bolts, level up your Lab Access ID, and advance robot learning.
Record: app.zen-o.xyz/data/bitrobot
iOS App Store Download: apps.apple.com/us/app/zeno-d…
Track Bolts: app.bitrobot.ai
Congrats to the Princeton team on their #CoRL2026 acceptance, tested zero-shot on the @frodobots Earth Rover!
Action Self-Distillation (ASD) lets a VLM teach itself language-conditioned navigation from robot trajectories alone and no human labels.
It hit 84% success indoors and 95% outdoors across 13 real-world tasks.
Can robots learn to reason and act with NO human-annotated language or reasoning labels?
Introducing Action Self-Distillation (ASD), one model that teaches itself language goal-conditioned reasoning and navigation directly from robot demonstrations. #CoRL 2026🤖
Read the full paper: arxiv.org/abs/2610.17593
See the demos: asd-nav.github.io/
Catch the team at @corl_conf 2026, and get the Earth Rover to build on this research yourself: bitrobot.ai/shop
BitRobot 🦾 retweeted
Sooo cool to still see folks pushing navigation research! Equally awesome to see our Earth Rovers being used in this research! Congrats @BowenFengbf @shahdhruv_ & team!
We find that a VLM can teach itself to understand language goals, reason about them, and command robot actions -- we call this Action Self-Distillation!
ASD can perform language navigation by outperforming any VLA trained on hand-annotated data.
asd-nav.github.io
Another subnet is coming online to the BitRobot Network tomorrow.
Have you set up your Lab Access ID to earn Bolts?
Here's a sneak peak of the gear you will need to position yourself for dual rewards again.
Shop gear: link.amazon/B06zlsYHT
Set up your Lab Access ID and get started with Bolts: app.bitrobot.ai
