Loading video...

Video Failed to Load

Go Home

1/ Introducing SN/08: RoboPlayground on TeleArms. We're bringing robotics training into simulation, turning arm manipulation tasks into mini-games anyone can join. No hardware required. Complete tasks and earn rewards while feeding real robotics R&D. ↓

74,713 views • 5 months ago •via X (Twitter)

37 Comments

BitRobot 🦾's profile picture
BitRobot 🦾5 months ago

2/ Robotics has a data problem. The best training data comes from teleoperation — but it doesn't scale. You need a lab, hardware, people. Simulation helps, but sim data lacks the 'human touch' that makes it useful for policy training. SN/08 solves this: combining both worlds with teleoperate-in-sim to remove the hardware bottleneck.

BitRobot 🦾's profile picture
BitRobot 🦾5 months ago

3/ SN/08 builds on the RoboPlayground paper from @UW and @allen_ai researchers: When a manipulation task is described in natural language → the system spins up dynamic eval tasks in sim. Testing policies this way reveals failures that fixed benchmarks miss. More contributors = more diversity in evaluation. Now pair that with thousands of teleop-in-sim hours from the BitRobot community…

BitRobot 🦾's profile picture
BitRobot 🦾5 months ago

4/ We're bringing RoboPlayground tasks into SN/08. Lift Pot. Rotate Valve. 30+ tasks now, 100+ more coming. RoboPlayground spins up rich evaluation challenges. BitRobot turns them into teleop-in-sim games — generating 2 things: - high-quality human demos for imitation learning - evaluation data that exposes real policy failures

BitRobot 🦾's profile picture
BitRobot 🦾5 months ago

5/ Getting started is simple: choose your keyboard, Joy-Con motion controller, or other supported device. Tasks range from easy to challenging. As you play, you'll earn ELO ratings that rank your skill across task types and levels — and against other players.

BitRobot 🦾's profile picture
BitRobot 🦾5 months ago

6/ SN/06 + SN/07 capture high-fidelity teleop data from real hardware (LeKiwi and XLeRobot). SN/08 adds the simulation layer to the stack. All 3 subnets share the same mission: creating the most comprehensive, diverse open dataset of how humans manipulate the world.

BitRobot 🦾's profile picture
BitRobot 🦾5 months ago

7/ Thrilled to build on the foundational work by @DJiafei, @yiruhelenwang, and the RoboEval + RoboPlayground team ( @carter_t_ung, @siddhss5, @fox_dieter17849, Evan Gubarev, Christopher Tan, and others). RoboPlayground brings dynamic eval tasks into sim — BitRobot turns them into teleop games for a global contributor base, yielding richer, more diverse datasets that help close the sim-to-real gap.

BitRobot 🦾's profile picture
BitRobot 🦾5 months ago

8/ Early @BitRobotNetwork members are already testing SN/08. We've reached over 27K+ completed game missions w/ 400+ hours of valuable training data collected Join the TeleArms waitlist for a chance to contribute and earn rewards:

Tolani's profile picture
Tolani5 months ago

the cube handover and lifting the pot are my favourites 🙂 Im currently ranked 5th on the RoboPlayground leaderboard 🔥

𝑻𝑨𝑹𝑮𝑬𝑻's profile picture
𝑻𝑨𝑹𝑮𝑬𝑻5 months ago

Love this approach making robotics training accessible through simulation is a smart way to scale real world innovation.

bibi🛸's profile picture
bibi🛸5 months ago

feels good to be part of this

nonibond.ink | ETHGas ⛽ (❖,❖) 🍚 ⛓ 🌶️,(✸,✸)🌶's profile picture
nonibond.ink | ETHGas ⛽ (❖,❖) 🍚 ⛓ 🌶️,(✸,✸)🌶5 months ago

Keyboarding is hard work. Double points please

Shelley's profile picture
Shelley5 months ago

congratulations! I need to up my game hereeee

hoangfeng's profile picture
hoangfeng5 months ago

AI has long lacked high-quality data, while games naturally maintain strong engagement. BitRobot is using gaming as a “cheat code” to solve the data problem for embodied AI. When users genuinely want to play, they unintentionally generate more natural and valuable datasets compared to traditional forced training approaches.

Mỹ Diệp's profile picture
Mỹ Diệp5 months ago

BitRobot Network is the ultimate master key to the Embodied AI era , powering the rise of Humanoid Robotics through a robust DePIN infrastructure, attracting smart money from industry giants, and building a high-potential Skill App Store for savvy hunters to capitalize on

Bear Crypto's profile picture
Bear Crypto5 months ago

That's a perfect update. LFG 😘😘😘

Thành Phan's profile picture
Thành Phan5 months ago

LFG 🫡🫡

Habibiofcrypto's profile picture
Habibiofcrypto5 months ago

This is definitely something we need

BMW7879's profile picture
BMW78795 months ago

Năm nay AI sẽ dẫn đầu xu hướng mới

Nangi's profile picture
Nangi5 months ago

Controlling robots with a keyboard is great, and training real AI is even better. I hope you guys continue to build on these positive things.

amal's profile picture
amal5 months ago

I like that this goes beyond typical AI narratives and focuses more on connecting intelligence with real-world systems. As AI starts interacting directly with environments, this kind of infrastructure could become increasingly important.

GuruVerseX's profile picture
GuruVerseX5 months ago

simulation era officially unlocked

Nine Daily's profile picture
Nine Daily5 months ago

What excites me most about BitRobot Network is how it transforms embodied AI into an open network where robots and humans contribute and scale together. It's not just about smarter AI, but about AI that can act in real world situations, driven by a community If you're curious about how blockchain based robotics will change our experiences day by day, join Discord to get a feel for the explosion that's happening. The community is incredibly vibrant, with constant discussion, and you definitely don't want to miss out.

Yap Sensei π²'s profile picture
Yap Sensei π²5 months ago

BitRobot stands out because it sits at the intersection of robotics and embodied AI, two of the strongest narratives right now. As attention shifts from text-based AI to real-world interaction, projects building infrastructure in this space are naturally becoming more compelling.

Nhat Nguyen's profile picture
Nhat Nguyen5 months ago

i love BitRobot Network

Santos Zetarium's profile picture
Santos Zetarium5 months ago

Hello everyone

Prithi Hazra's profile picture
Prithi Hazra5 months ago

Great 👍

刘博's profile picture
刘博4 months ago

我被诈骗了 这个meme币

emran rony's profile picture
emran rony5 months ago

Im happy to be a part of BitRobot Family

Mark dan's profile picture
Mark dan5 months ago

Awesome

Freddy Garcia Solano ( ✱,✱ )'s profile picture
Freddy Garcia Solano ( ✱,✱ )5 months ago

What I like is the focus on physical interaction instead of purely digital AI. As systems start learning from real-world feedback, the layer that links data to machines becomes much more valuable long term.

Lyn Nguyen's profile picture
Lyn Nguyen5 months ago

What excites me most is how this project sits where AI is heading next — from language models into real-world interaction through robotics and embodied AI. As this narrative gains traction, infrastructure and coordination layers like this become far more compelling.

thanhliem891.btc π² | ETHGas ⛽'s profile picture
thanhliem891.btc π² | ETHGas ⛽5 months ago

Solving the Hardest Problem in Embodied AI • Embodied AI (AI that controls physical robots in the real world) desperately needs massive, diverse real-world data.

Luận's profile picture
Luận5 months ago

Ý tưởng hay ở chỗ kết hợp teleop-in-sim với dynamic task từ RoboPlayground (UW + Allen AI). Thay vì chỉ thu data từ hardware thật (đắt và khó scale), giờ ai cũng có thể góp high-quality human demonstration qua game trên keyboard/Joy-Con.

Md Nibir Hossain's profile picture
Md Nibir Hossain5 months ago

So nice

Annie Ng π² ( ✱,✱ )'s profile picture
Annie Ng π² ( ✱,✱ )5 months ago

I am standing in line waiting

LimKang's profile picture
LimKang5 months ago

Bitrobit is really turning robot arm control into a fun game, give me the code to join plsss

Ifzy's profile picture
Ifzy5 months ago

Can't wait to become a part of this!!

Related Videos

🔥 JUST IN: Open-source robotics dataset from 100% real-world scenarios! 🤯 Chinese robotics company AGIBOT just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions. Built entirely from real-world environments: commercial spaces, and homes. Collected using AGIBOT G2 robots in free-form collection mode, providing structured, accurately annotated, high-quality data. Digital twin technology creates 1:1 scale replicas in simulation matching the real environments. Both real-world and simulation data are open-sourced. The AGIBOT G2 platform collects multiple data types simultaneously: RGB(D) cameras, tactile sensors, force sensors, LiDAR, IMU, and full-body joint states. Whole-body control coordinates arms, waist, and hands for complex tasks. First-person teleoperation lets operators control the robot from its perspective. The tasks covered are fine-grained manipulation, ultra-long-horizon tasks, spatial navigation, dual-arm coordination, and multi-agent/human-robot collaboration. The dataset includes error-recovery trajectories with annotations. Most datasets only show successful demonstrations. AGIBOT includes failures and how the robot recovers, teaching models how to handle mistakes. After collection, data is tested through policy training and real-robot deployment to ensure quality. Then processed through industrial quality control with multiple screening and cleaning rounds. Making it open-source accelerates embodied AI research by giving researchers access to high-quality real-world robot data at scale. 🇨🇳 Learn more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

40,583 views • 5 months ago

That's sick! 🤯 Genesis AI simulates robots playing yo-yo! 🪀 Genesis AI just open-sourced Genesis World 1.0, and it might be one of the most important infrastructure releases in robotics this year. Robotics is still bottlenecked by the 1× speed of the physical world. Every model needs to be tested on real hardware, slowly, expensively, with limited coverage. Genesis World 1.0 from Genesis AI flips that equation: One hour in reality becomes 100 days in simulation. That turns a wall-clock bottleneck into a compute problem. And compute problems are solvable. The technical stack they rebuilt from scratch is serious: → GPU-accelerated cross-platform compiler via Quadrants, 10x faster launch time and up to 4.6x runtime vs the initial Genesis release → Penetration-free multi-physics contact solvers, the thing that makes simulation actually trustworthy → Unified rigid AND deformable physics in a single engine → Nyx, a high-performance path-traced rendering engine purpose-built for physical AI The sim-to-real gap has historically been the graveyard of robotics research. Policies that work beautifully in simulation fall apart on real hardware. Genesis World 1.0 is a direct attack on that problem. And it's fully open-source. The companies that master simulation infrastructure will train better robots faster than anyone else. Find it here: Genesis World 1.0: Quadrants: Nyx: Theophile Gervet, Zhou Xian congrats! 👏🏼 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

57,061 views • 3 months ago