# Robotics — AI updates

Embodied AI — robots, simulation, and the systems that train them for the physical world.

- [Humanoid robots break Usain Bolt's 100m sprint record](https://www.parallelquant.com/posts/humanoid-robots-break-usain-bolt-s-100m-sprint-record-a2484d) (2026-08-23, Tom's Hardware): At the 2026 World Humanoid Robot Games in Beijing, the Tiangong Ultra robot ran 100 meters in 9.39 seconds, and the Honor Lightning followed at 9.47 seconds — both beating Usain Bolt's 9.58-second world record. The Tiangong Ultra reportedly reached 23.8 mph before crashing into padded barriers at the finish.
- [Robotics startup's AI learns new tasks from one demo](https://www.parallelquant.com/posts/robotics-startup-s-ai-learns-new-tasks-from-one-demo-722a9f) (2026-08-20, The Decoder): Generalist AI unveiled GEN-1.5, a generalist robot-learning model that can pick up new tasks after seeing just a single human demonstration. The approach targets the large amounts of demonstration data typically needed to teach robots new skills.
- [World Labs turns one robot demo into thousands of training runs](https://www.parallelquant.com/posts/world-labs-turns-one-robot-demo-into-thousands-of-training-runs-b7fbdc) (2026-08-15, The Decoder): World Labs, founded by AI researcher Fei-Fei Li, built a simulation engine that generates thousands of variations from a single real-world robot task. Models trained this way ran for an hour each on five different robot platforms without human intervention.
- [Dyna Robotics releases world-action model trained on 1M hours of video](https://www.parallelquant.com/posts/dyna-robotics-releases-world-action-model-trained-on-1m-hours-of-video-c1265e) (2026-08-13, MarkTechPost): Dyna Robotics released Dyna-2, a world-action model pretrained on more than one million hours of egocentric human video. Its technical report establishes a scaling law for training on human video up to that scale and shows the law transfers to unseen robot data. The company says video co-training drives generalization across different robot embodiments.
- [Indian startup builds humanoid robot with minimal Chinese parts](https://www.parallelquant.com/posts/indian-startup-builds-humanoid-robot-with-minimal-chinese-parts-f97f64) (2026-08-04, WIRED): Ati Robotics assembles its robots in India and sources only a small number of components from China, unlike most humanoid robot makers that depend heavily on Chinese supply chains. The approach could insulate the company as the Trump administration tightens restrictions on Chinese-made humanoid robots.
- [US AI firm arms Ukraine's kamikaze drones with autonomous targeting](https://www.parallelquant.com/posts/us-ai-firm-arms-ukraine-s-kamikaze-drones-with-autonomous-targeting-1864a9) (2026-08-03, Ars Technica): A US company signed a $100 million deal to equip 50,000 Ukrainian kamikaze drones with AI that lets them track and lock onto targets without continuous human operator input. The deal is one of the largest single deployments of autonomous targeting AI in an active conflict.
- [Google DeepMind launches Gemini Robotics 2 for full-body robot control](https://www.parallelquant.com/posts/google-deepmind-launches-gemini-robotics-2-for-full-body-robot-control-c714e2) (2026-07-30, MarkTechPost): Google DeepMind released Gemini Robotics 2, a set of three models: a vision-language-action (VLA) model for whole-body humanoid control, Gemini Robotics ER 2 for embodied reasoning and task orchestration, and an on-device VLA that adapts to new robot bodies within hours. One checkpoint already drives Apptronik's Apollo 2 humanoid and a Franka Duo arm, though only ER 2 is publicly available so far.
- [Nvidia's Cosmos-H-Dreams targets real-time surgical robot simulation](https://www.parallelquant.com/posts/nvidia-s-cosmos-h-dreams-targets-real-time-surgical-robot-simulation-a79acd) (2026-07-27, Hugging Face): Nvidia published Cosmos-H-Dreams, a generative world-model system aimed at real-time simulation for surgical robotics. Limited detail is available beyond the announcement itself, but it extends Nvidia's Cosmos world-model line into a new medical application.
- [AMD launches X100 chips for robots and physical AI](https://www.parallelquant.com/posts/amd-launches-x100-chips-for-robots-and-physical-ai-8c8241) (2026-07-23, Tom's Hardware): AMD introduced its X100 chip lineup, bringing Strix Halo APUs with Zen 5 CPU and RDNA 3.5 GPU cores to robotics applications. The chips are designed for 24/7 operation with a 10-year embedded lifecycle, and will also be offered as a Kria System-on-Module developer platform.
- [Nvidia releases 4B-parameter on-device world model for robots](https://www.parallelquant.com/posts/nvidia-releases-4b-parameter-on-device-world-model-for-robots-95be40) (2026-07-21, MarkTechPost): Nvidia released Cosmos 3 Edge, a 4-billion-parameter world model built to run on-device for robots and vision AI agents. It helps them reason about their surroundings and generate robot actions locally, joining the Cosmos 3 Nano (16B) and Cosmos 3 Super (64B) models Nvidia shipped in May at GTC Taipei.
- [Xiaomi robot study finds more data beats bigger models](https://www.parallelquant.com/posts/xiaomi-robot-study-finds-more-data-beats-bigger-models-dc0932) (2026-07-21, The Decoder): Xiaomi trained its Xiaomi-Robotics-1 model on more than 100,000 hours of motion data captured by people using camera-equipped handheld grippers, rather than data collected from robots themselves. Adding more data improved performance far more than increasing model size, though absolute success rates remain low and gains haven't plateaued.
- [Eric Trump-backed humanoid robotics startup eyes military use](https://www.parallelquant.com/posts/eric-trump-backed-humanoid-robotics-startup-eyes-military-use-3214a3) (2026-07-17, WIRED): Foundation Future Industries, a humanoid robotics company where Eric Trump serves as chief strategy adviser, told WIRED it is exploring military applications for its robots, with its CEO citing "kinetic things" among the possibilities.
- [Hyundai workers strike over plan to deploy 25,000 humanoid robots](https://www.parallelquant.com/posts/hyundai-workers-strike-over-plan-to-deploy-25-000-humanoid-robots-8edeed) (2026-07-16, Ars Technica): Human workers at a Hyundai auto factory went on strike over fears tied to the company's plan to deploy 25,000 Atlas humanoid robots, starting with US factories in 2028. The dispute centers on job security as Hyundai moves toward automating factory-floor work with humanoid robots.
- [NVIDIA and Hugging Face add new models and tools to LeRobot](https://www.parallelquant.com/posts/nvidia-and-hugging-face-add-new-models-and-tools-to-lerobot-b7af91) (2026-07-07, NVIDIA): NVIDIA and Hugging Face are bringing new models and frameworks to LeRobot, an open-source robotics platform, aiming to reduce the cost and fragmentation of resources like datasets, robot foundation models, and simulation tools.
- [Humanoid robots perform first tele-surgery on live pigs](https://www.parallelquant.com/posts/humanoid-robots-perform-first-tele-surgery-on-live-pigs-c96e86) (2026-07-09, Ars Technica): Surgeons remotely controlled humanoid robots to perform a preclinical surgical procedure on live pigs, described as a world-first operation. The trial is testing whether humanoid robots are feasible for use in surgical settings.
- [Ant Group unveils LingBot-VA 2.0 physical AI robot model](https://www.parallelquant.com/posts/ant-group-unveils-lingbot-va-2-0-physical-ai-robot-model-990e31) (2026-07-11, MarkTechPost): Ant Group's Robbyant division released a technical report on LingBot-VA 2.0, a video-action foundation model built from scratch for robotics rather than fine-tuned from a video generator. It predicts future states ahead of execution and reaches 225 Hz asynchronous control, though some of the paper's own reported numbers reportedly don't fully line up.
- [Explainer: what AI world models can and can't do yet](https://www.parallelquant.com/posts/explainer-what-ai-world-models-can-and-can-t-do-yet-9916e9) (2026-07-13, Ars Technica): Ars Technica surveyed AI researchers on how world models work, a class of systems that aim to simulate and predict physical environments. The piece outlines current capabilities and open questions, noting that much about their real-world reliability remains unsettled.
- [MIT's SceneSmith uses AI agents to train robots in simulation](https://www.parallelquant.com/posts/mit-s-scenesmith-uses-ai-agents-to-train-robots-in-simulation-a1e12b) (2026-07-13, MIT News): MIT researchers built SceneSmith, a system where collaborative AI agents generate realistic 3D environments such as kitchens, hotels, and living rooms. Robots practice everyday chores in these virtual scenes to gather training data that is hard to collect in the real world.

---
Published by Parallel Quant — https://www.parallelquant.com