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:show more

Dex is ready for the factory floor. 🏭 Learn... how Richtech Robotics built this mobile humanoid robot, powered by NVIDIA Jetson AGX Thor and trained in Isaac Sim, to handle light to medium industrial tasks. Read the blog ➡️show more

NVIDIA Isaac GR00T N1 is an open generalist foundation... model for #humanoidrobots. 🤖 Discover how the model can easily generalize common tasks, boosting robot reasoning and skills. ▶️show more

#Unitree Robotics unveiled the H2 bionic #humanoid #robot on... Monday, which stands 180cm tall and weighs 70kg. The H2 humanoid robot is designed to serve all users safely and amicably, the company told the Global Times.show more

• DETECT humans without touching them with advanced IR... sensors + AI Partnered with NVIDIA’s Isaac GR00T platform, their humanoid robot taps 10B cloud parameters for unmatched intelligence and real-world adaptability. And the robotics world took notice in January 2025:show more

Jensen just announced NVIDIA’s Isaac GR00T N1.5 and GR00T-Dreams... blueprint at COMPUTEX 2025: ⦿ Isaac GR00T N1.5 is the first update to NVIDIA’s open, generalized, fully customizable foundation model for humanoid reasoning and skills. ⦿ “Human demonstrations aren’t scalable — limited by the number of hours in a day,” said Jensen. The GR00T-Dreams blueprint enables the generation of vast synthetic motion data from single images, accelerating robot behavior learning via compressed action tokens. ⦿ Synthetic training data generated by GR00T-Dreams was used to develop GR00T N1.5 in just 36 hours — what would have taken nearly three months without the blueprint. ⦿ This update significantly improves the foundation model’s success rate for common material handling and manufacturing tasks. GR00T N1.5 can be deployed on Jetson Thor, launching later this year.show more

Today is the beginning of our moonshot to solve... embodied AGI in the physical world. I’m so excited to announce Project GR00T, our new initiative to create a general-purpose foundation model for humanoid robot learning. The GR00T model will enable a robot to understand multimodal instructions, such as language, video, and demonstration, and perform a variety of useful tasks. We are collaborating with many leading humanoid companies around the world, so that GR00T may transfer across embodiments and help the ecosystem thrive. GR00T is born on NVIDIA’s deep technology stack. We simulate in Isaac Lab (new app on Omniverse Isaac Sim for humanoid learning), train on OSMO (new compute orchestration system to scale up models), and deploy to Jetson Thor (new edge GPU chip designed to power GR00T). Announced in Jensen's keynote, Project GR00T is a cornerstone for the “Foundation Agent” roadmap of the newly founded GEAR Lab. At GEAR, we are building generally capable agents that learn to act skillfully in many worlds, virtual and real. See if you can spot "GEAR" in the video ;) Join us on the journey to land on the moon.show more

The new hotness in humanoid robotics! German robotics company... NEURA has released a video of their humanoid robot, 4NE-1, performing tasks. The robot's concept was unveiled in 2022. NEURA is among the first to join the early access NVIDIA Humanoid Robot Developer Program.show more

Humanoid Long Jump. The G1 humanoid from Unitree Robotics... has completed a long jump of 1.4 meters - possibly the longest jump ever achieved by a humanoid robot of its size in the world, standing only 1.32 meters tall. The G1 has up to 43 joint motors and a dexterous three-fingered hand, designed for precise manipulation and AI research. Priced from $16,000, it features robust Sim2Real capabilities, making it a compelling choice for robotics developers.show more

China Mobile just placed a record 124M RMB order... for humanoid robots. AgiBot secured the full-size bots (78M RMB), while Unitree Robotics won the small-size robots & dexterous hands (46.05M RMB). Reportedly China's largest domestic humanoid robot order to date! #Robotics #HumanoidRobots #Chinatechshow more

Robotics has a data scarcity problem - you simply... can't scrape robot control data from webpages. Introducing GR00T-Mimic and GR00T-Gen: using both Graphics 1.0 & Graphics 2.0 to multiply your robot datasets by 1,000,000x. We trade compute for synthetic data, so we are not capped by the fundamental physical limit of 24 hrs/robot/day. Robotics is right in the thick of Moravec's paradox: things that are easy for humans turn out to be incredibly hard for machines. We are crushing the Moravec's paradox, one token at a time. > Graphics 1.0: Isaac simulators with manually written, GPU-accelerated physics and rendering equations. > Graphics 2.0: big neural nets (Cosmos) that repaint the pixels from sim textures to real, given an open-ended prompt. Robot data multiplier workflow: 1. GR00T-Teleop: use XR device like Apple Vision Pro to map human finger poses to humanoid hands. 2. GR00T-Mimic: given a human-collected task demonstration, we augment the actions in Isaac and filter out ones that fail the task. 3. GR00T-Gen: apply Graphics 1.0 and then Graphics 2.0 to produce tons of visual variations. Join us to build Physical AI together! Job application links in thread:show more

Real-world robot data is expensive and slow to collect,... creating a major challenge for humanoid development. 🤖 The NVIDIA GR00T N1.6 open vision language action model is pre-trained on a diverse mix of data, including thousands of hours of Stanford Vision and Learning Lab’s BEHAVIOR simulation data, which covers long-horizon everyday manipulation tasks. This diverse training is the key to robust cross-embodiment performance and real-world adaptability. 🌍 Read the blog 🔗show more

Introducing Ψ₀ ( — an open foundation model for... universal humanoid loco-manipulation. 🏆 Outperforms GR00T N1.6 by 40%+ overall success rate 📉 Uses only ~10% of the pre-training data 📦 Fully open-source: model, data, code, and deployment pipeline 1/10show more

[Open Source] Unitree First View Teleoperation for Humanoid Robots... In order to advance the convenience of data collection for humanoid robots, we refer to other solutions to do the adaptation development and open source. Github： #Unitree #Humanoid #AGI #AI #EmbodiedIntelligence #Manipulation #Teleoperation #DataCollectionshow more

Finetuned NVIDIA GR00T N1 for bimodal robot arm manipulation... and won the 1st prize at LeRobot hackathon. Thanks to my amazing collaborators 🙏show more

Unitree unveils H2, the next-generation full-size humanoid robot. 5'... 11" (180cm) tall and weighing 153 lb (70kg).show more

Unitree 1.8m Humanoid Robot Every Punch Comes Through! 🥰... Unitree 1.8m H2 Humanoid Robot, A Combat Sparring Test. H2's knee strike lifts G1 off the ground. This is to validate the overall reliability of the robot, please do not attempt to replicate this. Please use robots in a friendly manner.show more

More humanoid robots from China! Beijing-based industrial robot maker... ROKAE Robotics has unveiled two humanoid robot models.show more

"Bring me the healthiest snack." The robot goes to... the kitchen and gets the snack, fully autonomously. This is the first public demo of NVIDIA's Isaac GR00T N1.6 foundation model presented by Yuke Zhu at CoRL 2025. The previous versions focused only on bimanual stationary manipulation; the N1.6 unlocks the entire kinematic range of the robot. The latest release of the open Isaac GR00T N1.6 VLA model will be available soon on Hugging Face. It integrates with NVIDIA Cosmos Reason, an open, customizable reasoning vision language model that turns vague instructions into step-by-step plans.show more

NVIDIA just announced EgoScale 🤖🧠 NVIDIA Research has uncovered... a log-linear scaling law for robot dexterity by pretraining VLA models on over 20,000 hours of egocentric human video This massive dataset is 20 times larger than previous efforts and proves that robot intelligence follows a predictable path: the more human data, the lower the loss The secret is a simple recipe combining large-scale human pretraining with a small amount of aligned human-robot mid-training to bridge the gap In testing, this method boosted the average success rate by 54% on a 22-DoF robotic hand compared to policies built without pretraining EgoScale also enables one-shot task adaptation and works across different hardware, suggesting that human motion is a universal motor prior for robots Website: Paper: Source: NVIDIA Research #Robot #Humanoid #Robotics #AI #EmbodiedAI #PhysicalAI #NVIDIA #EgoScale #GR00Tshow more