Unitree G1
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Headlines · 11
- Metatron v1 brings unified Unitree G1 humanoid control policy
A report describes Metatron v1 as a single learned policy for the 29-joint Unitree G1 humanoid, handling walking, scene interaction and fall recovery. The MaskedMimic-style transformer student was released under the NVIDIA Open Model License and integrated with ProtoMotions. The release contains three non-interchangeable packages: a native PyTorch checkpoint of about 459 MB for simulator and supervised real-robot workflows, a single-robot browser ONNX pipeline, and a six-robot batched ONNX network requiring external observation processing. All three use epoch-6410 weights, while the ONNX exports run on MuJoCo WASM and ONNX Runtime Web through WebGPU or WASM.
r/LocalLLaMA · 🔥 2 - Unitree rebounds while expanding into AI models, startups and data infrastructure
TMTPost reported that Unitree’s shares rebounded over the past 12 days, gaining more than 70% and pushing market value above RMB 280 billion. Its first post-IPO quarterly report showed Q3 revenue of RMB 665 million, up 69.93% year over year, while adjusted net profit fell 17.42% to RMB 105 million. The company also launched the Shanyu Venture Plan with Sequoia China, increased spending on embodied-AI models and computing, and proposed subscribing for RMB 20 million in additional capital in Hangzhou Embodied Intelligence Pilot Center to maintain a 10% stake. TMTPost said the rally was driven more by technical expectations surrounding GPT-6 Astra, institutional changes and Unitree’s small tradable share than by improved operating profitability.
钛媒体 · 🔥 6 - Unitree reports revenue growth with lower adjusted profit
Unitree Technology reported third-quarter revenue of RMB 665 million, up 69.93% year over year, while attributable net profit fell 17.37% to RMB 113 million. For the first nine months, revenue rose 55.71% to RMB 1.817 billion and attributable net profit increased 270.54% to RMB 387 million, but adjusted net profit declined 18.78% to RMB 349 million. R&D spending rose 191.48% to RMB 263 million, while net operating cash flow fell 54.69%. An analyst cited by TMTPost said the sharp increase in attributable profit was largely due to a low comparison base affected by share-based payment, rather than stronger underlying profitability. Unitree did not separately disclose how much revenue came from humanoid robots.
36氪快讯 · 🔥 3 - Humanoid robot rentals fall as manufacturers expand channels
TMTPost’s Embodied Commerce Post reports that an all-inclusive humanoid robot rental cost RMB 10,000 per day in early 2025, while a Unitree U2 package with technical staff was rented for less than RMB 3,000 per day by October. It also reports that UBTECH and C&D signed an agreement on October 9 covering channels, supply chains, leasing, after-sales operations, and overseas markets. The article argues that falling equipment scarcity and rising deployment demands are shifting the industry bottleneck from manufacturing toward delivery, integration, and maintenance.
钛媒体 · 🔥 0 - Unitree's Wang Xingxing says G1 has produced 10,000–20,000 units
At the 2026 World Physical AI Conference and Unitree partner ecosystem event on Oct 22, founder Wang Xingxing said Unitree's G1 humanoid, launched in May 2024, has cumulatively rolled off the line at roughly 10,000 to 20,000 units and called it the world's best-selling humanoid; no third-party sales data was cited. He also said Unitree's internal tests showed GPT-6 Astra could control a robot with zero training to paint, clean brushes and play Go, while acknowledging that real-world manipulation remains error-prone. Wang predicted physical AI could see major breakthroughs in one to two years, or two to three at the slower end, and said Unitree is developing a "Physical AI Robot Self-Evolution V1" system.
IT之家 AI · 🔥 0 - SenseTime study: GPT-6 Astra aces simulated embodied tests, stumbles on real robots
A SenseTime SenseNova team, with Daxiao Robotics, Ropedia, NTU and the University of Tokyo, published "Has GPT-6-Astra Achieved Embodied Intelligence?", a systematic evaluation of OpenAI's GPT-6 Astra across 12 simulated benchmarks and 8 real robot platforms. With in-context learning and up to a 10x action-step budget, the model scored 100% on LIBERO-Long++, 99.3% on LIBERO-Pro, 98.8% on SIMPLE and lifted RoboDojo from 27.6% to 81.9%, but reached only 37.0% on the long-horizon BEHAVIOR benchmark and 28.9% on LHPR-VLN navigation. On real hardware it succeeded 17 of 18 times at rigid pick-and-place, yet failed all 11 plug-insertion attempts across three platforms; placing a pen in a holder took over four hours and cost $55, and in a cooking task it decided an egg was done but turned off the stove about 90 seconds later, burning it. The report concludes GPT-6 Astra has largely crossed the embodied-intelligence threshold but remains far from practical deployment, and presents SenseNova-RoboRSI, a harness that improves from execution feedback without updating model weights.
36氪 人工智能 · 🔥 0 - Ropedia W0 Brings Human Experience to Cross-Embodiment World Models
Ropedia W0 is a world foundation model for egocentric locomotion and manipulation across human and robot embodiments, using camera poses and projected skeletons as a shared motion interface. Its Xp-Data contains 10,000 hours of human egocentric video and 3,000 hours of robot data, while the paper reports state-of-the-art results on five cross-embodiment benchmarks and real-time, minute-long rollouts after distillation.
Hugging Face · Papers · 🔥 0 - Humanoid robot shipments up 4x, but the industry has no profitable model yet
IDC and Frost & Sullivan both published humanoid robot reports in late September, agreeing the market is scaling but disagreeing sharply on the numbers: IDC counted nearly 25,000 units shipped globally in the first half of 2026, up 432.1% year on year, on $740 million in revenue, while Frost & Sullivan counted 36,000 units and $540 million in revenue, implying an average unit price less than half of IDC's. The article says revenue is concentrated in expensive full-size machines — roughly the priciest fifth of shipments took more than three-quarters of revenue — while deployment in actual production work accounted for under 15%, and no company has shown sustained profit: UBTech, the revenue leader, lost RMB 339 million in the half, whereas Unitree is profitable mainly on volume sales of half-size units such as the G1 (over 5,500 units in 2025, about a 34.8% non-recurring net margin). It also cites Mech-Mind founder Shao Tianlan's public criticism of self-dealing data-collection centers and Galbot's denial and police report, and argues that full-size share, commercialization stage and unit prices are more meaningful indicators for the sector.
36氪 人工智能 · 🔥 0 - RoboFoundry freezes base models and evolves the embodied agent system around them
A team from Nanyang Technological University, Beihang University, National University of Singapore, Shanghai Jiao Tong University and Yundie Technology proposes RoboFoundry, an embodied agent framework that formalizes the agent system itself as a "Self-Evolving System-as-Policy": base model parameters stay frozen while evolution happens in the context system, skill system and execution interface around the model, driven by an execute-reflect-repair-promote loop and a shared semantic interface for reuse across robots. On EmbodiedBench all five base models improved, with GPT-5.5's average success rate rising from 56.9% to 72.7%, above unevolved GPT-6 Astra at 71.9%; on the long-horizon memory benchmark RoboMemArena it reports task success at least 39.0% above all baselines, and it tops LIBERO-PRO perturbation tests at 91.9% average success. Real-robot experiments on an AgileX platform reached 70% success on a nesting-cups task versus 30% for π0.5 alone, alongside zero-shot skill transfer to unseen towels, semantic navigation on a Unitree G1, and online evolution after deployment.
机器之心 · 🔥 0 - NVIDIA showcases GPT-6 Astra agents building Omniverse simulations
An NVIDIA blog post shows developers directing frontier models such as GPT-6 Astra with natural-language prompts while the agents wire together NVIDIA Omniverse libraries for physics (ovphysx), rendering (ovrtx), scene updates (ovstage) and UI (ovui). Seven projects are described, including a warehouse humanoid simulator, an autonomous-driving test workflow, sensor digital-twin calibration, a Robo Olympics experiment, robotic disassembly, a browser-based International Space Station model and a captured-room rebuild. NVIDIA says one engineer guided agents to create two digital twins from scratch and improve two existing ones in about three days, while in another experiment a simulated Unitree G1 humanoid cleared a single hurdle in 64 of 100 trials.
NVIDIA Blog · 🔥 0 - Long-WAM scales world-action model context for real-time robot control
Long-WAM is a model-system framework for scaling the context of causal world-action models under real-time robot-control constraints; its authors report that longer histories only pay off when the video foundation is pretrained autoregressively. On RoboCasa GR-1, raising context from 0.0 to 19.2 seconds lifted success from 63.3% to 78.7%, while a bidirectionally pretrained initialization showed no net gain, and robot-domain autoregressive pretraining further raised peak success on GR-1 and LIBERO-Long. The paper also reports deployment on RTX 5090, DGX Spark and Jetson AGX Thor, with each action chunk including future-video latent prediction taking 107.4 ms on RTX 5090, plus real-time long-horizon manipulation on Unitree G1 and YAM reaching 95% success on dynamic cup stacking, where it says Pi0.5 and Fast-WAM succeeded in none of 20 trials.
Hugging Face · Papers · 🔥 0
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