Skip to content
Live

Fields

Robotics

AI stepping into the physical world: tracking progress in humanoid robots, embodied foundation models, and real-world operational capabilities.

10featured stories
9this month
10 Nov, 23:58Updated
Active this month

Major events

  1. Google's strongest VLA robot model, Gemini Robotics 2.5, debuts, can tie bows, already on the Mercedes production line 4 sources

    Google launches VLA robot model Gemini Robotics 2.5, achieving leaps in dexterity, reliability, and safety, with a success rate of 96% on the Mercedes production line. The model has tested 200 tasks, with a success rate 30%-100% higher than the baseline, a speed increase of 20%-30%, and is compatible with robots like Apptronik Apollo 2, adopting ASIMOV-Jailbreak benchmark to enhance jailbreak resistance to 99.5%.

  2. OpenAI has reassigned robotics researchers to other teams as general models may make dedicated robotics AI unnecessary 2 sources

    OpenAI has reorganized its robotics team again, assigning researchers to other departments instead of dissolving the team. Robotics researchers will join the main research team led by Chief Research Officer Mark Chen, while the application robotics hardware team will join Greg Brockman's application department.

  3. Agility Robotics listed on the Nasdaq this week, backed by Foxconn and NVIDIA 2 sources

    American humanoid robotics company Agility Robotics will list on Nasdaq this Thursday local time, with the stock code AGLT, having previously completed a merger with Churchill Capital Corp. XI

  4. a16z News invested in Eka Robotics 2 sources

    a16z News led the A round funding for Eka Robotics, a company that develops robots capable of performing dexterous tasks. By combining visual perception with force feedback, the company enables physical contact itself to function as information. It also uses reinforcement learning in physical simulations to train robot skills, aiming to bridge the gap between simulation and reality.

Latest stories

Nov 10Tue1–9
  1. Google DeepMind76

    Google DeepMind releases Gemini Robotics 2.5 vision-language-action model

    Google DeepMind released Gemini Robotics 2.5, claiming it is the most capable vision-language-action (VLA) model to date, with a 30% to 100% increase in success rate on 200 tasks compared to previous baselines, and 20% to 30% faster task completion speed.

    Why it matters: Officially disclosed were 200 task evaluations and actual production line test data showing a 96% success rate for Mercedes-Benz, which can be used to judge the extent of VLA model deployment in real industrial scenarios.

Nov 9Mon
  1. NVIDIA Newsroom78

    NVIDIA released the GR00T 2 world action model and Isaac Lab 3.0 on CoRL.

    NVIDIA released the open-source world action model GR00T 2 on CoRL, built on NVIDIA Cosmos, trained with 100,000 hours of NVIDIA open-source first-person human data, and can complete 40 out of 50 evaluation tasks without task-specific demonstrations.

    Why it matters: The original text provides the success rate of GR00T 2 on few-shot tasks and the training throughput improvement of Isaac Lab 3.0, which can be used to judge the extent to which simulation training promotes robot deployment.

Nov 6Fri
  1. Hugging Face Blog71

    NVIDIA has released four open-source world model checkpoints for Cosmos 3.

    NVIDIA has added four new open-source weight checkpoints for Cosmos 3 under the Cosmos World Model platform, all of which are post-trained versions of Cosmos 3 Nano, containing 16B trainable parameters, using the OpenMDW1.1 license, allowing commercial and non-commercial use.

    Why it matters: The original text provides four open-source weight checkpoints and a four-stage training recipe, allowing readers to judge how to adapt the world model to their own sensors and robot bodies.

Nov 5Thu
  1. ITHome · AI72

    Agility Robotics listed on the Nasdaq this week, backed by Foxconn and NVIDIA

    American humanoid robotics company Agility Robotics will list on Nasdaq this Thursday local time, with the stock code AGLT, having previously completed a merger with Churchill Capital Corp. XI

    Why it matters: Agility Robotics becomes the first humanoid robot company to list in the US, its funding scale, order backlog, and deployment plans can serve as a reference for observing the commercialization of this industry.

Oct 31Sat
  1. QbitAI72

    Zhiyuan releases GO-3 Preview and WITA-OMNI dual models and introduces Worken labor unit

    Zhiyuan released the embodied base model GO-3 Preview and the full-modal interactive large model WITA-OMNI at the Innovation Day. The former topped the RoboDojo, RoboTwin, and RoboColiseum rankings, while the latter led the Daily-Omni, TimeLens-Bench, EmbSpatialBench, and MMAU rankings.

    Why it matters: Zhiyuan provides dual model rankings, tri-intelligent hardware, and an open-source OS plan at once, allowing comparison with its production line test data to judge the implementation level.

Oct 30Fri
  1. ITHome · AI78

    Zhiyuan released the embodied model GO-3 Preview, topped three major lists, and plans to open source by the end of 2026.

    Zhiyuan launched the embodied model GO-3 Preview on October 29, adopting an embodied-native WRAM architecture that connects task reasoning, future prediction, and action generation, and has topped the three major evaluation lists: RoboDojo, RoboTwin, and RoboColiseum. It plans to fully open source by the end of 2026.

    Why it matters: The deployment data provided by the original text shows a success rate of real-life convenience store tasks ranging from 28.6% to 85.7%, which can be observed as the path of online self-improvement of embodied models.

Oct 27Tue
Oct 21Wed
  1. Hugging Face Blog66

    NVIDIA has released the Cosmos3-H-Dreams surgical generative simulation model.

    NVIDIA has released Cosmos3-H-Dreams, extending interactive generative simulation to clinical gallbladder removal scenarios, capable of generating surgical scenes in real-time based on instrument movements.

    Why it matters: The original text explains the migration path from desktop stitching to clinical cholecystectomy scenarios, as well as the trade-off between quality and delay between four-step and two-step distillation checkpoints.

Sep 30Wed
  1. Anthropic Research71

    Anthropic Research: What Work Can Robots Currently Complete?

    Anthropic has released a Robot Exposure Index study, using Claude to evaluate about 19,000 tasks in O*NET, finding that existing robots can complete 74% of physical tasks in the U.S. and account for 34% of all work time, but most are limited to controlled environments.

    Why it matters: Anthropic used Claude to rate O*NET tasks item by item, quantifying how much work robots can currently cover, and provided constraints on cost and regulation.

Related topics

AI agents116 this monthOpen source76 this monthDeployment & infra62 this monthSafety & alignment56 this monthReasoning37 this monthMultimodal34 this month