Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

💚 NVIDIA has released the MotionBricks weights on the Hugging Face Hub! MotionBricks generates real-time motion for game characters and humanoid robots. Give it a character's recent poses and the poses it should reach next, and it generates the movement in between, at 15,000 FPS with 2 ms latency.... show more

Alvaro Bartolome

2,511 subscribers

200,793 views • 9 days ago •via X (Twitter)

Science & Technology

Anya Rossi• Live Now

Private livecam show

37 Comments

Alvaro Bartolome9 days ago

Find the weights on the Hugging Face Hub, and start building with the MotionBricks framework today!

Alvaro Bartolome9 days ago

Or check their project page for more information, insights and deep-dives on the model and framework!

Toby VirtualFilmer9 days ago

@NVIDIAAI @nvidia “Just”?? This was release months ago

Alvaro Bartolome9 days ago

@NVIDIAAI @nvidia They just released the *open weights* on the @huggingface Hub, as it reads in "💚 NVIDIA has released the MotionBricks weights on the Hugging Face Hub!"

Root9 days ago

@NVIDIAAI @nvidia Stil waaaaay off from a good hand crafted animation.

Alvaro Bartolome9 days ago

@NVIDIAAI @nvidia no machine can surpass hand crafted stuff, but some get really really close imo

Trying my best :-)9 days ago

@NVIDIAAI @nvidia yeah the best body animations I have seen in a virtual environment by far.

ashen8 days ago

@NVIDIAAI @nvidia yo @xikhar

Komm8 days ago

@NVIDIAAI @nvidia looks better than gta6's locomotion system ngl. this looks promising.

Soran9 days ago

@NVIDIAAI @nvidia finally euphoria for all!

Dominik8 days ago

@NVIDIAAI @nvidia one model driving both a game character and a unitree g1 is the interesting bit. does the same primitive set hold up on the real robot?

Nidal Nijm8 days ago

@NVIDIAAI @nvidia Amazing and this will not "kill" animators. Rather Animators will need to learn how to use these tools and adapt their workflow to survive and stand out.

ttywisp8 days ago

@NVIDIAAI @nvidia can it hop on one leg

Mason Dudley9 days ago

@NVIDIAAI @nvidia Thats actually really cool

Toby VirtualFilmer9 days ago

@NVIDIAAI @nvidia @grok my understanding was that Nvidia released this many months ago- is there a new release now? Can you explain it?

₽ⱤΞΞ₮Ⱨ△M ₭Ɏ△И△M8 days ago

@NVIDIAAI @nvidia This is highkey very very cool

Muhammad Subhan Imran9 days ago

@NVIDIAAI @nvidia @zaiggy007 Animations upgrade incoming

Owais8 days ago

@NVIDIAAI @nvidia hey @grok can you check is it free and open source to use?

Adamanthys8 days ago

@NVIDIAAI @nvidia That looks RD2 level or better. No excuse for stiff animations anymore.

JL9 days ago

@NVIDIAAI @nvidia HOLY SMOKES

goktug8 days ago

@NVIDIAAI @nvidia 15000 FPS?

PhantasyWave8 days ago

@NVIDIAAI @nvidia What are the exportable formats? Or is it even possible to export animations? I will look into it anyways thanks for sharing

Rusty Shackleford8 days ago

@NVIDIAAI @nvidia I prefer games having unrealistic but plausible movement over this slow ass "☝🤓 Technically more accurate" bullshit. Movie games are ass.

Æ̾̾̾̾̾̾̾x8 days ago

@NVIDIAAI @nvidia this is the coolest thing ever

Roberto Bifulco9 days ago

@NVIDIAAI @nvidia I guess it is time for the next toy project then 😅

Chiki-Briki8 days ago

@NVIDIAAI @nvidia Круто, нас ждут игры с одинаковыми анимациями?)

Chron8 days ago

@NVIDIAAI @nvidia Nvidia Single-Handedly will kill the gaming industry hardware wise and software wise

JOSEMAXIMUS2 🇪🇸🇪🇸8 days ago

@NVIDIAAI @nvidia this is huge, now we need physics too

Six9 days ago

@NVIDIAAI @nvidia MotionBricks on the Hub is huge for realtime character/robot motion — 15k samples/s interpolation is wild for game NPCs.

Kuldeep Pisda8 days ago

@NVIDIAAI @nvidia for the G1 weights, is there a tracking controller in the release to turn poses into torques or is that bring your own?

Roman Kowalski9 days ago

@NVIDIAAI @nvidia i want my AC mod for gta5 do it cloude, make no mistakes

빚갚는 n잡러8 days ago

@NVIDIAAI @nvidia 이걸로 게임 다 만들겠습니다!

Micah8 days ago

@NVIDIAAI @nvidia looks like assassins creed 2019 era

Zippy8 days ago

@NVIDIAAI @nvidia Ubisoft still gonna make it jank somehow.

zynx9 days ago

@NVIDIAAI @nvidia how does it compare with ARDY?

Sebastiano Mandalà9 days ago

@NVIDIAAI @nvidia this is old news right? Are these baked animation or selected at real time by the policy?

Orn9 days ago

@NVIDIAAI @nvidia Any word on the UE5 plugin?

Related Videos

NVIDIA has released MotionBricks, an AI that generates character motion at a reported 15,000 frames per second with just 2ms latency on an RTX 5090. Trained on 350,000+ motion clips, it lets developers build new interactions for game characters and humanoid robots without retraining.

NVIDIA has released MotionBricks, an AI that generates character motion at a reported 15,000 frames per second with just 2ms latency on an RTX 5090. Trained on 350,000+ motion clips, it lets developers build new interactions for game characters and humanoid robots without retraining.

Chubby♨️

83,530 views • 7 days ago

NVIDIA MotionBricks brings humanoid robots closer to natural, fluid movement The system combines a modular latent generative model with Smart Primitives, packing more than 350,000 motion skills into a single backbone. It runs in real time at up to 15,000 FPS with just 2ms latency. Navigation, object interaction, sitting, jumping, obstacle crossing, and even different movement styles can be composed zero-shot, like reusable motion modules. It is already being used for whole-body control on the Unitree G1 and serves as the motion layer for NVIDIA GR00T Whole-Body Control. What makes this interesting is the move from training individual behaviors toward building a shared library of motion capabilities. If that approach scales, robot movement could become more modular, transferable, and easier to deploy across different tasks and environments.

NVIDIA MotionBricks brings humanoid robots closer to natural, fluid movement The system combines a modular latent generative model with Smart Primitives, packing more than 350,000 motion skills into a single backbone. It runs in real time at up to 15,000 FPS with just 2ms latency. Navigation, object interaction, sitting, jumping, obstacle crossing, and even different movement styles can be composed zero-shot, like reusable motion modules. It is already being used for whole-body control on the Unitree G1 and serves as the motion layer for NVIDIA GR00T Whole-Body Control. What makes this interesting is the move from training individual behaviors toward building a shared library of motion capabilities. If that approach scales, robot movement could become more modular, transferable, and easier to deploy across different tasks and environments.

CyberRobo

11,089 views • 4 months ago

This is wild. NVIDIA just dropped MotionBricks at SIGGRAPH 2026. This AI makes game characters and robots move with 350,000+ motion skills. 15,000 FPS. 2ms latency. 1. Smart locomotion - Characters can now switch movement styles on the fly.

This is wild. NVIDIA just dropped MotionBricks at SIGGRAPH 2026. This AI makes game characters and robots move with 350,000+ motion skills. 15,000 FPS. 2ms latency. 1. Smart locomotion - Characters can now switch movement styles on the fly.

Min Choi

111,816 views • 4 months ago

NVIDIA just revealed MotionBricks, a new AI model trained on more than 350,000 motion clips. What’s really impressive is that the same model can animate a digital character and control a humanoid robot in the real world.

NVIDIA just revealed MotionBricks, a new AI model trained on more than 350,000 motion clips. What’s really impressive is that the same model can animate a digital character and control a humanoid robot in the real world.

Justin Ryan

84,954 views • 3 months ago

New Open-Source AI Animator: Text-to-Animation for Humans, Animals, Creatures, Robots & More UniMate generates motion from text prompts for rigged 3D characters. Describe an action and turn it into animation. Highlights: • One model, different skeletons—no separate retraining for each rig. • Generate transitions between existing keyframes. • Edit motion with text while keeping selected joints unchanged. • Extend animations with a sequence of prompts. • Export animated meshes as FBX and GLB. • MIT-licensed code + downloadable preview weights.

New Open-Source AI Animator: Text-to-Animation for Humans, Animals, Creatures, Robots & More UniMate generates motion from text prompts for rigged 3D characters. Describe an action and turn it into animation. Highlights: • One model, different skeletons—no separate retraining for each rig. • Generate transitions between existing keyframes. • Edit motion with text while keeping selected joints unchanged. • Extend animations with a sequence of prompts. • Export animated meshes as FBX and GLB. • MIT-licensed code + downloadable preview weights.

Stefan 3D AI

246,714 views • 1 month ago

Made a demo for MotionBricks running 100% in your browser. You steer a robot, change its walking style or approach an obstacle. The app turns that into target poses, and the model uses its recent poses to generate the motion connecting them. It outputs 3D joint motion, runs locally on your CPU.

Made a demo for MotionBricks running 100% in your browser. You steer a robot, change its walking style or approach an obstacle. The app turns that into target poses, and the model uses its recent poses to generate the motion connecting them. It outputs 3D joint motion, runs locally on your CPU.

Victor M

21,492 views • 7 days ago

Ropedia just released W0, an open world model trained on ~10,000 hours of egocentric human video. One set of weights predicts first-person views for humans, robot arms, and humanoids (Unitree G1, Fourier GR-1) using a shared camera + skeleton representation. Adding a new robot only requires its URDF. It leads Cosmos 3 and DreamDojo across every benchmark tested. After distillation it runs at 21.3 FPS, enough for real-time VR control, and can roll out minute-long continuous loco-manipulation. Human pretraining transfers: the model with zero robot data already beats robot-trained baselines on several humanoid tests. In practice it can rank policies, pick better actions at runtime, and transfer to new robots without large-scale data collection. Paper, code, weights, and demos are all out.

Ropedia just released W0, an open world model trained on ~10,000 hours of egocentric human video. One set of weights predicts first-person views for humans, robot arms, and humanoids (Unitree G1, Fourier GR-1) using a shared camera + skeleton representation. Adding a new robot only requires its URDF. It leads Cosmos 3 and DreamDojo across every benchmark tested. After distillation it runs at 21.3 FPS, enough for real-time VR control, and can roll out minute-long continuous loco-manipulation. Human pretraining transfers: the model with zero robot data already beats robot-trained baselines on several humanoid tests. In practice it can rank policies, pick better actions at runtime, and transfer to new robots without large-scale data collection. Paper, code, weights, and demos are all out.

The Humanoid Hub

10,446 views • 15 days ago

Today we're releasing Trinity-Large-Thinking. Available now on the Arcee API, with open weights on Hugging Face under Apache 2.0. We built it for developers and enterprises that want models they can inspect, post-train, host, distill, and own.

Today we're releasing Trinity-Large-Thinking. Available now on the Arcee API, with open weights on Hugging Face under Apache 2.0. We built it for developers and enterprises that want models they can inspect, post-train, host, distill, and own.

Arcee.ai

727,828 views • 7 months ago

Nvidia is now a humanoid robot designer. That's the real takeaway from this news. Nvidia is acquiring Hugging Face for $12.93B. Hugging Face is the largest open-model and dataset hub, the "GitHub of AI," with 3M+ models and 18M+ developers, robotics included. But here's the interesting part: Hugging Face has a serious robotics team from its acquisition of Pollen Robotics, which designs and builds open-source hardware platforms for robots, including humanoids (Reachy). Pollen team now gets the backing of the world's most valuable company. $NVDA

Nvidia is now a humanoid robot designer. That's the real takeaway from this news. Nvidia is acquiring Hugging Face for $12.93B. Hugging Face is the largest open-model and dataset hub, the "GitHub of AI," with 3M+ models and 18M+ developers, robotics included. But here's the interesting part: Hugging Face has a serious robotics team from its acquisition of Pollen Robotics, which designs and builds open-source hardware platforms for robots, including humanoids (Reachy). Pollen team now gets the backing of the world's most valuable company. $NVDA

The Humanoid Hub

10,755 views • 2 months ago

Meet Iris-3B: a pixel-space T2I model and general vision learner that generates every pixel directly. No VAE. Pre-trained from scratch, 3B, open weights. We also explore its generative prior on detail-critical vision tasks: depth estimation and image restoration. Fully open: weights, code and demo (Apache 2.0)

Meet Iris-3B: a pixel-space T2I model and general vision learner that generates every pixel directly. No VAE. Pre-trained from scratch, 3B, open weights. We also explore its generative prior on detail-critical vision tasks: depth estimation and image restoration. Fully open: weights, code and demo (Apache 2.0)

Speridlabs

109,794 views • 27 days ago

NVIDIA announces the first open humanoid robot reference design built for robotics research. The NVIDIA Isaac GR00T Reference Humanoid Robot combines the Unitree H2 humanoid robot, Sharpa Wave five-fingered hands for dexterous manipulation, Jetson Thor onboard compute, and Isaac GR00T open software and models, giving researchers a full-stack platform from data capture to model deployment. Read the #NVIDIAGTC Taipei announcement:

NVIDIA announces the first open humanoid robot reference design built for robotics research. The NVIDIA Isaac GR00T Reference Humanoid Robot combines the Unitree H2 humanoid robot, Sharpa Wave five-fingered hands for dexterous manipulation, Jetson Thor onboard compute, and Isaac GR00T open software and models, giving researchers a full-stack platform from data capture to model deployment. Read the #NVIDIAGTC Taipei announcement:

NVIDIA Robotics

175,627 views • 5 months ago

Big day for open source. MiniMax Music 3 is undeniably a state of the art open weights Music Generation model and a real alternative to Suno. My favorite part about open weights: the best is yet to come. Once the community starts playing with the model and training LoRAs, this model only gets better and allows for more control.

Big day for open source. MiniMax Music 3 is undeniably a state of the art open weights Music Generation model and a real alternative to Suno. My favorite part about open weights: the best is yet to come. Once the community starts playing with the model and training LoRAs, this model only gets better and allows for more control.

rob - comfyui

324,108 views • 2 months ago

Nvidia has just announced Alpamayo 2 Super, an open 34 billion parameter reasoning vision-language-action model designed to accelerate the development of autonomous vehicles. This new model combines the NVIDIA Cosmos 3 Super reasoning model with a 2 billion parameter diffusion-based action expert model, and is post trained with reinforcement learning. The model can return multiple outputs: future trajectory plans, reasoning traces, grounded answers to questions about the scenes, and auto label generation. The model weights are now available for anyone to download on Hugging Face, and the inference code has been posted to GitHub. Distilled models can be deployed commercially without any further permission from Nvidia, and model outputs carry no license conditions. Automakers can distill down a compact version of this model that can run on the Nvidia computer in the car. Major kudos to Nvidia and Jensen Huang for advancing the state of the industry by releasing this as an open model with permissive licensing. Jensen isn't just paying lip service to the idea of open models, Nvidia is actually contributing to the ecosystem — and it's great for their business, because it helps sell more Thor computers that go in the car. Anyone can go download the model and play with it. If you do, let me know what you think. Personally I think it's so cool that we have open weights models that are this advanced, for anyone to download.

Nvidia has just announced Alpamayo 2 Super, an open 34 billion parameter reasoning vision-language-action model designed to accelerate the development of autonomous vehicles. This new model combines the NVIDIA Cosmos 3 Super reasoning model with a 2 billion parameter diffusion-based action expert model, and is post trained with reinforcement learning. The model can return multiple outputs: future trajectory plans, reasoning traces, grounded answers to questions about the scenes, and auto label generation. The model weights are now available for anyone to download on Hugging Face, and the inference code has been posted to GitHub. Distilled models can be deployed commercially without any further permission from Nvidia, and model outputs carry no license conditions. Automakers can distill down a compact version of this model that can run on the Nvidia computer in the car. Major kudos to Nvidia and Jensen Huang for advancing the state of the industry by releasing this as an open model with permissive licensing. Jensen isn't just paying lip service to the idea of open models, Nvidia is actually contributing to the ecosystem — and it's great for their business, because it helps sell more Thor computers that go in the car. Anyone can go download the model and play with it. If you do, let me know what you think. Personally I think it's so cool that we have open weights models that are this advanced, for anyone to download.

Whole Mars Catalog

45,595 views • 3 months ago

Unitree Humanoid Robots Updated With Open-Source Full-Body Motion Dataset 🤗 We’ve adapted motion capture data for Unitree H1, H1-2, and G1 humanoid robots, using numerical optimization methods to make their movement trajectories more natural. Open-Source： #AI #OpenSourceDataset #Unitree #EmbodiedAI #Humanoid #DataCollection #AGI #Dance

Unitree Humanoid Robots Updated With Open-Source Full-Body Motion Dataset 🤗 We’ve adapted motion capture data for Unitree H1, H1-2, and G1 humanoid robots, using numerical optimization methods to make their movement trajectories more natural. Open-Source： #AI #OpenSourceDataset #Unitree #EmbodiedAI #Humanoid #DataCollection #AGI #Dance

Unitree

198,702 views • 1 year ago

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: Code: Paper: (ACM TOG / SIGGRAPH 2026)

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: Code: Paper: (ACM TOG / SIGGRAPH 2026)

tingwu.wang

154,801 views • 6 months ago

MotionBricks by Nvidia, a new AI that generates realistic human and robot movements in real time

MotionBricks by Nvidia, a new AI that generates realistic human and robot movements in real time

AI Search

32,044 views • 9 days ago

1/ Introducing Glider - the smallest model to beat GPT-4o-mini on eval tasks ⚡🚀 - Open source, open weights, open code - Explainable evaluations by nature - Trained on 183 criteria and 685 domains Try it out for free at 🔥

1/ Introducing Glider - the smallest model to beat GPT-4o-mini on eval tasks ⚡🚀 - Open source, open weights, open code - Explainable evaluations by nature - Trained on 183 criteria and 685 domains Try it out for free at 🔥

PatronusAI

14,879 views • 1 year ago

MotionBricks by NVIDIA. the all-in-one brain for character movement. No manual rigging/animation, you just let this AI handle the physics and style in real-time. - 15k FPS on RTX 5090! You could run an entire city of unique NPCs without breaking a sweat. - Smart Primitives. The AI fills in the natural-looking motion automatically. - Zero-Shot Skills. - Glitch-Free. Keeps movements stable.

MotionBricks by NVIDIA. the all-in-one brain for character movement. No manual rigging/animation, you just let this AI handle the physics and style in real-time. - 15k FPS on RTX 5090! You could run an entire city of unique NPCs without breaking a sweat. - Smart Primitives. The AI fills in the natural-looking motion automatically. - Zero-Shot Skills. - Glitch-Free. Keeps movements stable.

Wildminder

23,296 views • 4 months ago

LETS GOO! Generate full songs (4 min) with vocals in less than 10 seconds - open weights model! 🔥 It's crazy how much you can achieve from open models as of today! - going right for Suno and likes! VAE + Base model combined is < 2.5GB Open weights on the hub and a space to play around with it! 🤯

LETS GOO! Generate full songs (4 min) with vocals in less than 10 seconds - open weights model! 🔥 It's crazy how much you can achieve from open models as of today! - going right for Suno and likes! VAE + Base model combined is < 2.5GB Open weights on the hub and a space to play around with it! 🤯

Vaibhav (VB) Srivastav

64,204 views • 1 year ago

🚀 Galbot just released AstraBrain-WBC 0.5, the world’s first humanoid robot cerebellum foundation model. Trained on 20,000 hours of human motion data, it validates a Scaling Law for robot motion control and demonstrates zero-shot execution of unseen motions on real humanoids. The era of robot control foundation models is getting closer.

🚀 Galbot just released AstraBrain-WBC 0.5, the world’s first humanoid robot cerebellum foundation model. Trained on 20,000 hours of human motion data, it validates a Scaling Law for robot motion control and demonstrates zero-shot execution of unseen motions on real humanoids. The era of robot control foundation models is getting closer.

Eren Chen

10,270 views • 4 months ago