Visual tactile sensing is more than a simple 'camera plus silicone' setup: the density of tactile information depends on camera resolution. A 640×480 image represents 300,000 tactile information points; Yimu Technology can capture 240,000, compared with about 12,000 tactile points on a human fingertip.
Zibian Robotics released TwinDEX, combining a wearable body-free data-collection system with a compatible robot end effector and a data-processing and policy-training pipeline. Evaluations found that a few hundred body-free examples alone let a robot perform a 24-subtask chemistry experiment in a single continuous run. Body-free data can nearly 100% replace real-robot teleoperation data in training effectiveness, and the task's data collection was 5.3 times as efficient as real-robot teleoperation.
Yuansheng Intelligence founder Yang Sicheng says that when models are not capable enough, hardware must be highly capable. Dexterous hands need to score above 80 on reliability, dexterity, payload, dynamic response, touch, and precision. Its in-house Apex Hand uses a hybrid in-palm tendon drive with 21 degrees of freedom, a maximum active payload of 30 kilograms per hand, and a 0.2-second open-close time. Teams using it won the gold, silver, and bronze heavyweight medals in weightlifting and tug-of-war at the 2026 World Humanoid Robot Games in August.
QbitAI ROBO reviewed financial reports from at least 36 robotics-related companies listed in mainland China or Hong Kong: 18 deliver complete robots and application solutions, while 18 provide systems and components. Unitree generated about RMB 868 million from humanoid robots in 2025, about 51.1% of its revenue. UBTECH generated about RMB 821 million from full-size embodied-intelligence humanoid robots, about 41.0%. Unitree reported about RMB 278 million in net profit attributable to shareholders, while UBTECH reported a net loss of about RMB 703 million.
Stanford's Movement Lab and Caltech published HomeBody, connecting GPT Astra to a Unitree G1 so the robot can explore an unfamiliar kitchen and then carry out sequences such as finding objects, getting medicine, throwing out trash, and opening drawers.
Guoxing Intelligence unveiled 11 specialized robots in Yantai, Shandong, for high-risk, complex settings including embodied AI, smart inspection, emergency rescue, and firefighting. It demonstrated the robots in real exercises. Its Smart Inspection line has been adapted for power operations, large warehouses, nuclear power, oil and gas, and chemical industries, and can carry out fully autonomous, all-weather inspections. Guoxing Intelligence also signed a cooperation agreement with the Shandong Computing Center (National Supercomputing Center Jinan) and Gao Longxiang's team to advance practical applications combining supercomputing, AI compute, vision, and specialized robots.
Ant Lingbo Technology, Ant Group's embodied-intelligence company, signed a framework MOU with the Arab Federation for Digital Economy (AFDE) to jointly deploy and localize full-stack embodied AI and robotics solutions in the UAE, GCC, and Middle East.
Shutu Technology raised nearly RMB 100 million in a Pre-A round co-led by CDH Baifu and Kunpeng Fund, with Guangzhou Industrial Investment and Yihe Capital participating. Existing investor Trend Investment also made an oversubscribed follow-on investment. This is the company's third funding round in one month. The money will support R&D and validation for tactile-data representation training, iterate the SynaTac product line, and accelerate applications in robot contact-policy training and on-device deployment.
Ant Lingbo Technology, Ant Group's embodied-intelligence company, signed a framework MOU with the Arab Federation for Digital Economy (AFDE) to jointly deploy and localize full-stack embodied AI and robotics solutions in the UAE, GCC, and Middle East.
JLC launched the Kaiwu Incubator at the 4th Spark Open Hardware Conference and Global AI Hardware Innovation Ecosystem Conference. It announced hardware-innovation support covering R&D facilities, industry scenarios and market channels, and capital. The open-source and closed-source tracks received more than 400 projects. The 2026 Spark Global Hardware Innovation Competition final produced nine winning projects. As of the end of June 2026, JLC EDA had 7.3688 million registered users worldwide.
AMD and World Labs announced that AMD will acquire the world-model company by year-end in a deal valued at $820 million, subject to regulatory approval. World Labs was founded in 2024 by computer vision scientist Fei-Fei Li and Justin Johnson, Christoph Lassner, and Ben Mildenhall. It initially raised $230 million, part of it from AMD.
Why it matters: AMD’s $820 million acquisition of Fei-Fei Li’s World Labs illustrates a chipmaker’s move into world models and synthetic data for robotics.
AMD announced an all-stock acquisition of spatial intelligence startup World Labs for about $8.2 billion. The deal is expected to close by the end of 2026, subject to regulatory approval. World Labs founder Fei-Fei Li will join AMD's leadership team as executive vice president and chief scientist, reporting directly to CEO Lisa Su and leading frontier research.
Why it matters: Beyond the price and leadership changes, the source outlines the technical case for world models and compares the ecosystem with Nvidia's.
More than 600 YuanDian Xiaoqiao robots sold on the first day after launch on September 2; the initial run of 1,000 sold out in under a week, and it won Best in the Next Generation and Emerging Tech category at IFA 2026. The 88-cm-tall, roughly 13-kg humanoid has joint modules rated up to 50 N·m and an introductory price of RMB 8,888. YuanDian calls it the world's first AI-native embodied robot and has also launched the fully open-source OpenBridge ecosystem. The company previously released home-focused products including M1, W1, and Jupiter, with cumulative orders exceeding 30,000 in the first half of this year.
Yang Yuxin, co-founder of Striding AI, has made a formal public debut as company president, overseeing global market expansion, industry ecosystem development, and commercialization. Yang previously spent eight years as chief marketing officer at Black Sesame Technologies (02533.HK), from the launch of its first product through mass production and its Hong Kong listing. Founded in early 2026 by Yao Song, Charoen Pokphand Group, and Tsinghua scholar Yu Chao, Striding AI focuses on full-stack capabilities across embodied models, robot platforms, and software.
Liu Chenhao of PHYBOT presented the company's humanoid badminton system at an IROS 2026 workshop. The 1.35-meter robot can cover a 4.4 × 4.4-meter court and sustain rallies of more than 40 shots in a single round.
Consumer embodied-AI company Knowin Intelligence has raised hundreds of millions of yuan in an Angel+++ round led by a JD.com-affiliated fund, with follow-on investment from Zhengxingu Capital, Nanshan Strategic Emerging Industries Investment, and Walden International. Total funding since founding exceeds RMB 1 billion. Its GLOW generative embodied model achieved a 62.2% average success rate across 18 RoboDojo simulation tasks, 40 percentage points above the GPT-6 (Robocurve) baseline; it ranked first among the listed single-policy models on LIBERO-Pro with 86.7%.
AMD acquired World Labs for $8.2 billion. The official blog says that since its founding in 2024, World Labs has built a model-training team for image, video, and spatial reconstruction, and has advanced robotics simulation through its acquisition of SceniX.
Why it matters: AMD's $8.2 billion acquisition of World Labs and its disclosure of Atlas's sparse-reconstruction progress offer a view into the integration of spatial intelligence and robotics simulation.
AMD announced an all-stock acquisition of Fei-Fei Li's World Labs for $8.2 billion. The deal is expected to close by the end of 2026, subject to regulatory approval. After closing, Li will join AMD as executive vice president and chief scientist, reporting directly to Lisa Su; co-founders Justin Johnson and Ben Mildenhall will continue leading the team as it joins AMD.
Why it matters: The full deal details and the companies' year-and-a-half collaboration are laid out, helping readers understand why a chipmaker would acquire a spatial-intelligence team.
Fei-Fei Li announces that World Labs is joining AMD and that she will become Executive Vice President and Chief Scientist, working directly with Lisa Su and her team. She says the move builds on a technical partnership begun last year to optimize model training and inference on AMD GPUs. The combined effort aims to advance spatial intelligence and provide open models and platforms spanning hardware, software, models, and data.
Why it matters: Li connects World Labs joining AMD to its existing GPU partnership, providing context for how closer hardware integration fits the company's ambitions in spatial intelligence and physical world applications.
Issue 474 of Import AI focuses on Michael Levin's “Platonic mindspace” hypothesis: that minds arise when nonphysical patterns are embedded in bodies and machines, with experiments involving xenobots and anthrobots offered as evidence. Other topics include TPUs in space and Zhipu launching an outer RSI loop.
At IROS, Sharpa unveiled three products developed entirely in-house: D01, an integrated dexterous-manipulation robot with tactile sensing; W02, a compact, lightweight dexterous hand with full tactile sensing; and AE01, a haptic data glove with high-fidelity exoskeleton feedback.
Tesla factory workers were asked to wear special motion-recording suits to collect imitation-learning data for Optimus humanoid robots. Some resisted because they “know the robots are ultimately designed to replace them.” Tesla later shifted data collection to dedicated teams and established “training centers.”
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Microsoft Research systematically measured mobile-robot manipulation workloads and found that moving physical-AI inference from an onboard GPU to an edge or cloud GPU can improve task performance and extend battery life.
Why it matters: Microsoft Research measured robot inference workloads and reports performance and battery-life data for offloading inference from onboard hardware to edge or cloud GPUs.
At ROSCon, NVIDIA released Isaac ROS 5.0 with new agent workflows and platform support to help developers build, customize, and deploy robotics applications faster.
Why it matters: The source lists Isaac ROS 5.0's agent skills and platform support, helping readers assess how much of the robotics development workflow can be automated.
NVIDIA has introduced Halos, which it calls the first and only full-stack safety system for physical AI, spanning design, verification, and deployment.
Jim Fan announces T-Rex, an open-source tactile robot learning methodology developed through a collaboration between NVIDIA and Berkeley. Its mixture-of-transformer architecture pairs a slow visuomotor expert with a fast tactile expert running at 4 touch ticks per vision tick; a 50-hour (~5,500 episodes) synchronized robot play dataset collected on tactile hand hardware with 22 degrees of freedom is available today on HuggingFace. Extending EgoScale, its training recipe combines human egocentric video pretraining with tactile robot play mid-training, which Fan says helps bridge contact-free pretraining and contact-rich manipulation.
Why it matters: T-Rex offers a transferable approach to contact-rich robot learning by combining human video pretraining, synchronized tactile robot data, and separate visual and tactile processing rates.
Jim Fan attributes GEN-1.5’s promise to naturally repetitive human demonstrations, retained failures that teach recovery, and UMI, which lets humans collect data directly while wearing a robot gripper. He argues that teleoperation loses physical intuition and that sufficient data can enable zero-shot behaviors such as picking up novel objects without finetuning. He remains cautiously optimistic, noting that in-context learning depends on the distance between training and test conditions and that current demos are too simple to draw conclusions.
Google DeepMind has released Gemini Robotics ER 2, positioned as the robot's high-level brain: it converses with people, understands the physical world, and plans multi-step tasks before handing execution to a lower-level VLA model. It can also call tools such as Google Search natively.
Why it matters: The official release gives concrete figures for ER 2's progress classification and temporal localization, along with access details, helping readers assess its limits on long tasks.
Google DeepMind has released Gemini Robotics 2 with three models: Gemini Robotics 2, a vision-language-action model for translating visual and language input into motion; Gemini Robotics ER 2 for embodied reasoning; and Gemini Robotics On-Device 2, which runs locally on devices.
Why it matters: The article explains the three models' roles and access points, helping readers assess pathways to full-body robot control and multi-robot collaboration.
NVIDIA has released Cosmos-H-Dreams, a real-time, action-conditioned generative simulator for surgical robots. It distills Cosmos-H-Surgical-Simulator into a causal few-step student model and runs through the FlashDreams inference library on a single NVIDIA RTX PRO 6000 GPU.
Hugging Face has released Grabette, a low-cost, open-source handheld gripper system for recording robot-manipulation demonstrations without a robot or teleoperation rig. It has a wide-angle fisheye camera and an RGB-D camera for policy-view recording and 6-DoF trajectory tracking, respectively. The hardware bill of materials is about €490; the companion robot-side gripper, Gripette, costs about €120.
Why it matters: The source describes the full open pipeline from handheld-gripper recording to LeRobot datasets, helping readers assess how the barrier to collecting manipulation data is changing.
Mistral AI has released Robostral Navigate, its first embodied-navigation model. The 8B model uses a single standard RGB camera, with no LiDAR or depth sensor, and achieves a 76.6% success rate on R2R-CE validation unseen—9.7 percentage points above the best single-camera approach and 4.5 points above the best systems using depth or multiple cameras.
Why it matters: The source reports navigation success using a monocular RGB camera and describes the training approach, giving a view of how sensor requirements for embodied navigation are changing.
Hugging Face has released LeRobot v0.6.0, adding world-model policies (VLA-JEPA, FastWAM, LingBot-VA), a new set of VLA models (GR00T N1.7, MolmoAct2, EO-1, EVO1, Multitask DiT), and a unified reward-model API (Robometer, TOPReward) to the robotics-learning loop.
Why it matters: The release brings world-model policies, a reward-model API, and six simulation benchmarks into one CLI, giving readers a view of how production-ready the robotics-learning loop is becoming.
NVIDIA has released ENPIRE, a framework in which coding agents drive physical robots through autonomous experiments and improvements. It achieved 99% success on tasks including PushT, peg sorting, and cutting zip ties with a cutter; tests also tried inserting a GPU into a motherboard.
Google DeepMind has launched a three-month robotics accelerator, selecting 15 early-stage startups from across Europe and providing technical guidance and access to its AI stack and Gemini robotics models. The companies work in logistics, manufacturing, healthcare, climate, navigation, and other areas; they include Norway's 3D-Components, France's Bubble Robotics, and the UK's Touchlab. The program began in London this week.
Google DeepMind has released Gemini Robotics-ER 1.6, a major upgrade to its reasoning-first robotics model. It improves spatial reasoning and multi-view understanding and adds the ability to read complex instruments such as pressure gauges and level meters.
Why it matters: The source details changes in spatial reasoning, multi-view understanding, and instrument reading, along with access information, giving a view of progress in high-level robot reasoning.
