Just added tactile sensing in mjlab!

If you are at #CoRL2026, come meet the MuJoCo team over lunch on Wednesday, see what's new, and show us what you're building.

We'll be in Room 310 on Level 3 at the JW Marriott Austin, 12:00-13:30.

Calendar invite: tinyurl.com/2kdpwa7m

testing MuJoCo 4.0 on a towel-folding scene I built for @watonomous! this is a big advance for rollouts in deformable object manipulation.

I scripted a trajectory that folds the towel in half, then ran the same scene on 3.14, 3.17 and 4.0 to see what changed.

Introducing MuJoCo Playground 1.0!

We now ship with full sim-to-real examples, not just RL in sim, bringing MuJoCo ever closer to a robot near you. SO101 and YAM are supported out of the box in sim and real.

See the thread below or playground.mujoco.org for more info

MuJoCo 4.0 is out!

• Fast or thin objects no longer pass through each other
• Soft bodies can now deform permanently and rods can twist
• MuJoCo Studio, the successor to simulate, with physically based rendering via Filament

Try it live: mujoco.org

MuJoCo 4 is released!

github.com/google-deepmin…

Google’s new Gemini 4 Argon equals GPT-6 Astra on the Artificial Analysis Intelligence Index at 60% of the Cost per Task with discounted prices. Google is now back to being one of the top three labs in intelligence achieved

Gemini 4 Argon is @GoogleDeepMind’s first proprietary lass in over 7 months. With high reasoning (the highest available), it scores 53 on the Artificial Analysis Intelligence Index, matching GPT-6 Astra (max, 53) and 1 point ahead of GPT-6.1 Sol (max, 52), with gains driven by lower hallucinations and stronger agentic capabilities.

At its current 50% pricing discount and with cache discounts increased to 95%, Gemini 4 Argon costs $1.99 per Intelligence Index task, 60% of GPT-6 Astra (max), but 2.7x GPT-6.1 Sol (max). After the discount ends, this will rise to $3.98 (~1.2x GPT-6 Astra (max)).

Gemini 4 Argon is currently being rolled out to selected users and is not publicly available. The 50% discount is an initial promotion. Google has not yet confirmed the promotion end date

Key benchmarking results for Gemini 4 Argon with high reasoning:

➤ Google returns as one of the top three labs on intelligence: Gemini 4 Argon (high) scores 53 on the Artificial Analysis Intelligence Index, matching GPT-6 Astra (max, 53) and 1 point ahead of GPT-6.1 Sol (max, 52). This is 23 points above Google’s previous non-Flash model, Gemini 3.1 Pro Preview (30) and 12 points ahead of Gemini 3.8 Flash (high)

➤ Launch discounts of 50% make Gemini 4 Argon competitive on Cost per Task: At current discounted pricing, Gemini 4 Argon (high) costs $1.99 per Intelligence Index task, 60% of GPT-6 Astra (max, $3.26) for a comparable level of intelligence. This cost efficiency is driven by lower token prices, rather than reduced token use, with Gemini 4 Argon averaging 62k output tokens per task, compared with 27k for GPT-6 Astra (max). Google has not yet confirmed the promotion end date, but on standard pricing, Cost per Task will increase to $3.98

➤ Stronger agentic performance: Historically a weaker area for Gemini models, Gemini 4 Argon shows improvements across agentic evaluations. It ranks #1 on AutomationBench-AA at 77.5%, 6 points ahead of Claude Sonnet 5.5 (max, 71.3%). On Terminal Bench 4, Gemini 4 Argon achieves 57%, a +53 point improvement from Gemini 3.1 Pro Preview, only behind Claude Sonnet 5.5 (max, 64%), Claude Opus 5.5 (max, 60%) and GPT-6 Astra (59%). On AA-Briefcase, it reaches 1494 Elo. This is driven by a 65% rubric pass rate, the highest we have recorded, but lower Analytical Quality (1576 Elo) and Presentation Quality (1308 Elo)

➤ Lowest hallucination rate among leading models: On AA-Omniscience, Gemini 4 Argon has a 15% hallucination rate, the lowest of any model scoring 45+ on the Intelligence Index, compared with 51% for GPT-6 Astra (max) and 54% for GPT-6.1 Sol (max). This means Argon is much more likely to acknowledge when it does not know an answer rather than guess incorrectly. On accuracy, Gemini 4 Argon scores 50%, a 5 point decrease from Gemini 3.1 Pro Preview, and 13 points below GPT-6 Astra (max, 63%). With this slightly lower accuracy, its overall AA-Omniscience score of 42 remains in line with GPT-6 Astra (43) and GPT-6.1 Sol (42)

Key model details:

➤ Context Window: 1M tokens

➤ Multimodality: Text, image, video, and speech input, with text output

➤ Pricing: $4/$20 per 1M input/output tokens at standard pricing, currently discounted 50% to $2/$10. Cached input tokens receive a 95% discount ($0.10 per 1M at discounted pricing), up from 90% on Gemini 3.8 Flash

➤ Long Decode Continuation: We tested Gemini 4 Argon with Long Decode Continuation, a new Gemini API feature that pauses long responses and resumes them across follow-up calls. This lets reasoning run up to 1M output tokens without request timeouts

Weapons of Mosquito Destruction, by @tomaspueyo open.substack.com/pub/unchartedt…

Learning to swing

Possibly the most interesting post I've ever read by @profplum99 open.substack.com/pub/michaelwgr…

Google DeepMind 🤝 @BostonDynamics

Our new research partnership will bring together our advancements in Gemini Robotics’s foundational capabilities to their new Atlas® humanoids. 🦾

Find out more → goo.gle/49paguA

We're excited to share that MuJoCo Warp is available at HEAD in MJX and for all environments in MuJoCo Playground. See the post here github.com/google-deepmin…

I’m so excited to announce Gemma 3n is here! 🎉

🔊Multimodal (text/audio/image/video) understanding
🤯Runs with as little as 2GB of RAM
🏆First model under 10B with @lmarena_ai score of 1300+

Available now on @huggingface, @kaggle, llama.cpp, ai.dev, and more

We're also launching the Gemini Robotics software development kit (SDK) to help developers fine-tune the model for their own applications, including by testing it in the MuJoCo physics simulator. 🌐

We’re bringing powerful AI directly onto robots with Gemini Robotics On-Device. 🤖

It’s our first vision-language-action model to help make robots faster, highly efficient, and adaptable to new tasks and environments - without needing a constant internet connection. 🧵

We built an AI model to simulate how a fruit fly walks, flies and behaves – in partnership with @HHMIJanelia. 🪰

Our computerized insect replicates realistic motion, and can even use its eyes to control its actions.

Here’s how we developed it – and what it means for science. 🧵

📣MuJoCo announcement 📣

Thrilled to share that @GoogleDeepMind has unveiled MuJoCo-Warp at @nvidia's #GTC25!

🚀 We've expanded our open-source MuJoCo simulator with MuJoCo-Warp, leveraging NVIDIA’s Warp framework for incredible acceleration. This marks a significant step in simulation more accessible.

The ultimate test of any physics simulator is its ability to deliver real-world results.

With MuJoCo Playground, we’ve combined the very best: MuJoCo’s rich and thriving ecosystem, massively parallel GPU-accelerated simulation, and real-world results across a diverse range of peds, humanoids, dexterous hands, and arms.

Best of all? You can get started today with a single command: pip install playground

playground.mujoco.org

Yesterday the hyped Genesis simulator released. But it's up to 10x slower than existing GPU sims, not 10-80x faster or 430,000x faster than realtime since they benchmark mostly static environments

blog post with corrected open source benchmarks & details: stoneztao.substack.com/p/the-new-hype…

MuJoCo 3.1.6 has just been released! MJX now comes with out-of-the-box support for height fields. Check out this joystick policy that @the_real_btaba trained (~2M steps per second on an A100).

Colab to reproduce: colab.research.google.com/github/google-…