Bones Studio

The Source of ground-truth multimodal human motion & behavior data for Physical AI. From world models to humanoid control | 5+ years, trusted by leading labs

[Bones Studio @TheBonesStudio]

Training humanoid robots?

You need motion data. Real, high-fidelity, human motion data. And until now - there was no open dataset purpose-built for humanoid robotics.

For 5 years, we've been building the largest enterprise-grade human motion and behavior datasets for embodied AI. Our data powered breakthrough SONIC research.

Today, at GTC, with @NVIDIARobotics, we're opening a piece of it to the world.

BONES-SEED:
→ 142,200 motion capture animations
→ Up to 6 natural language descriptions per motion
→ Temporal segmentation of every action
→ Curated for humanoid robotics
→ In NVIDIA SOMA and Unitree G1 (MuJoCo) formats

From text to action. Now yours.

Go build → https://t.co/00PzoIBMWe

#NVIDIAGTC

[Bones Studio @TheBonesStudio]

The motion stack for humanoid robots is getting bigger.

Proud to see our data becoming part of the foundation it’s built on.

Thanks, @lukas_m_ziegler for the clear breakdown 🙌

[Lukas Ziegler @lukas_m_ziegler]

This is actually sick! 🤯

A motion generator for robotics. and gaming.

This is MotionBricks cooked by @NVIDIAAI. It's a 15,000 FPS real-time motion generation for robots and games.

MotionBricks shipped to SIGGRAPH 2026 with code that integrates directly into NVIDIA's GR00T Whole-Body Control stack. 15,000 FPS, 2ms latency, 350,000 motion skills from a single neural backbone.

Okay, let's have a look how it works: first train one generative model on 350k production-grade mocap clips (BONES-SEED dataset from Bones Studio).

Then add "smart primitives" on top, a unified interface where you specify navigation targets, object interaction keyframes, and style prompts. The network generates everything else in real-time.

There's no animation graph., and no per-task fine-tuning.

Their demo-character navigates, picks up a sword, vaults a bench, sits down, switches between zombie/injured/skipping styles. Every frame generated by the network, in real-time.

I think that this matters as MotionBricks is now core to GR00T Whole-Body Control which is the same stack powering humanoids widely used in research across the globe.

Btw. code ships with an interactive G1 demo, but a full robotics-integrated release coming in ~1 month.

The motion stack for humanoid robots is getting bigger! 🔥

Check it out here: https://t.co/eiCcRTzTFc

cc: @NVIDIARobotics

~~

♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwWF9

[Bones Studio @TheBonesStudio]

@carlosdponx @shafeef_omar Thanks @carlosdponx we appreciate the shoutout 🙏

[Bones Studio @TheBonesStudio]

Boxes: solved. Spheres: TBD. Deformables: don't ask.
Episode 02 of Ground Truth is live!

[Bones Studio @TheBonesStudio]

Pick and Place is easy. Until it isn't...
Episode 02 of Ground Truth drops soon.
A lot of confidence about to be misplaced.

[Bones Studio @TheBonesStudio]

@ProtoDomo The script was fire. The robots refused to deliver the punchlines. Difficult cast – delivery was a little mechanical…

[Bones Studio @TheBonesStudio]

Welcome to Ground Truth!
A series where in a not-so-serious way we share our experience from building datasets for Physical AI.

In this first episode, two robots learn that the real world is messy, unpredictable, and full of... stairs that are all slightly different :)

[Bones Studio @TheBonesStudio]

@ImSpartacus18 Aesthetics update is queued. Right after they recover from finding out about spiral staircases

[Bones Studio @TheBonesStudio]

SONIC just crossed the embodiment barrier.

@Solo_Tech ported NVIDIA's SONIC to the @AGIBOTofficial X2 Ultra – a completely different humanoid morphology - using ~2,550 clips from BONES-SEED.

Same data. Different robot. It works.

This is why we built BONES-SEED as a universal motion foundation – not for one robot, but for many of them.

Congratulations to the @Solo_Tech team on this milestone.

https://t.co/qsxhiN58fE

[Dhruv Diddi @DhruvDiddi]

🚀 @Solo__Tech breakthrough: NVIDIA Sonic goes beyond the G1. 🌏

We’ve achieved a global first: migrating NVIDIA Sonic to a completely different humanoid morphology, the AGIBOT X2 ��

This is a massive leap for transferable humanoid intelligence. We are moving away from single-robot controllers toward architectures that generalize across diverse embodiments.

The Specs:
Hardware: AGIBOT X2 Ultra (31 DoF)
Precision: 14-DoF Dexterous Hands
Capabilities:
- End-to-end whole-body locomotion with manipulation
- Single leg balancing and stylized motion
- Upper body gestures

Big respect to the team fueling this innovation all the way!

@meetsitaram @zeeshaan_7788 @Samarth_1506 @DevSodhi @flyingtaxiguy @build @frontiertower @nvidia @AGIBOTofficial @nebiusai @UFBots @vitl2907 @XeniaBulatov @NVIDIARobotics

To learn more about Solo Tech at the frontier of Physical AI: https://t.co/BRZejo6e9c

#PhysicalAI #Robotics #Humanoids #NVIDIA #AGIBOT #SoloTech #EmbodiedAI #SoloSeven

[Bones Studio @TheBonesStudio]

@DhruvDiddi @Solo__Tech This is exactly what we built BONES-SEED for!

One dataset, many embodiments. Exciting to see SONIC transfer to @AGIBOTofficial X2 using a subset of our motion data.

Congratulations to the entire @Solo_Tech team!

[Bones Studio @TheBonesStudio]

@TingwuWang Congratulations @TingwuWang! Proud to see our data powering this incredible work! 🚀

[Bones Studio @TheBonesStudio]

SONIC. Kimodo. Now MotionBricks. Three @NVIDIA breakthroughs, all powered by our motion data.

From research to real-time production at 15,000 FPS. From digital characters to Unitree G1 robots.

This is what happens when great data meets great research.

Congratulations @TingwuWang and the entire team.

[tingwu.wang @TingwuWang]

What is missing to bring real-time motion research into AAA games and real-world robotics?

We present MotionBricks, a step toward bridging this gap with two key components:
- a single generative latent motion backbone covering 350,000+ motion skills, running at 15,000 FPS with 2 ms latency and substantially improved quality and reliability.
- a unified smart primitive interface for locomotion, object / scene interaction, with fine-grained control over generated behaviors.

Webpage: https://t.co/aJE5skUuWD
Code: https://t.co/r56D3TJ8CW
Paper: https://t.co/CtOHXnHZMv (ACM TOG / SIGGRAPH 2026)

[Bones Studio @TheBonesStudio]

@InvaderDevs @SteelAngelVikki Thanks a lot,@InvaderDevs!
It was a real pleasure supporting you on this title.
Can't wait for the big reveal! 👀

Keep crushing it!

[Bones Studio @TheBonesStudio]

Great piece by @oyhsu at @a16z.

A sharp, coherent breakdown of why Physical AI is entering its own scaling regime.

The new input isn't language.
It's multimodal physical data.
Nobody was collecting it - there was no reason to.

Now there is.

Synchronized. Automated. At scale.

Many are starting to build this. We're already licensing it.

[Oliver Hsu @oyhsu]

https://t.co/hhRZCmd2id

[Bones Studio @TheBonesStudio]

@davrempe This is a big one @davrempe – thank you for building this.

[Bones Studio @TheBonesStudio]

First the Kimodo model. Now the Kimodo Motion Generation Benchmark! @davrempe keeps building 🚀

Here's what's exciting: anyone training motion generation models can now benchmark them against BONES-SEED ground truth data.

This is how open ecosystems are built – one building block at a time.

https://t.co/PAZqkUYJF6

Thank you @davrempe and the @NVIDIA team.

[Davis Rempe @davrempe]

Are you training motion gen models on @TheBonesStudio’s SEED dataset? Evaluate and compare your models on our new Kimodo Motion Generation Benchmark!

It includes an extensive text-to-motion test suite and code for computing standardized metrics.

https://t.co/E2rFfqwlLs