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#Data and simulation
Oct 29Thu
  1. 机器人产业应用 · 微信公众号58

    Muxi and Geely both take stakes in Daxiao Robotics: why a chipmaker and an automaker are betting on embodied AI

    On October 8, a business registration change took place at Shanghai Daxiao Infinite Robotics, adding new shareholders including Muxi Digital Intelligence under Muxi and Geely Chuangxiang No. 20, a Geely Capital-affiliated entity; registered capital increased to 182 million yuan. Daxiao Robotics centers on the Kairos world model, and has already piloted a wheeled-arm lift robot at a Kunlun Haoke convenience store, completing product recognition, picking, transport, and packing. The article's analysis says Muxi values validation of domestic GPU software stack compatibility with world models, while Geely uses the investment to fill gaps in world models and robot manipulation capabilities, but taking a stake does not mean purchase orders or an exclusive partnership have been formed.

  3. 机器之心 · 微信公众号78

    AgiBot releases embodied model GO-3 Preview, enabling full-pipeline scaled learning from pretraining to post-deployment

    AgiBot has released the embodied model GO-3 Preview, focused on full-pipeline scaled learning across pretraining, post-training, and post-deployment, and it ranked first in three evaluations: RoboDojo, RoboTwin, and RoboColiseum.

    Why it matters: AgiBot disclosed GO-3 Preview's three-stage learning pipeline of pretraining, post-training, and post-deployment, along with specific benefit data from mixed training using real-machine clusters and world models.

  4. 机器之心 · 微信公众号82

    X-Era AI opensources 4D world action model E0.5, real-robot success rate surpasses π0.5

    X-Era AI has open-sourced its native 4D world action model E0.5, achieving overall average success rates of 85.0% and 88.3% on the AgileX Piper dual-arm robot and the Zerith H1 humanoid robot, respectively, 13.3 and 26.7 percentage points higher than π0.5.

    Why it matters: The original text provides real-robot success rate comparisons between E0.5 and π0.5 on dual-arm and humanoid platforms, which can be used to assess the manipulation generalization performance of the 3D geometric backbone approach.

  5. 机器之心 · 微信公众号42

    What kind of data does spatial intelligence need? Interview with Yingjie Technology and CityU Associate Professor Ma Chen

    Ma Chen, associate professor at City University of Hong Kong, has joined Yingjie Technology to lead pre-research on the data direction. The company has completed two consecutive seed funding rounds over the past few months, totaling tens of millions of yuan. Yingjie is building a data pipeline spanning multimodal collection, spatiotemporal alignment, spatial structuring, and dynamic tracking and prediction validation, while advancing spatial intelligence benchmarks and post-training environments, feeding model failure modes back into data collection and training. Ma Chen proposes comparing different supervision methods under the same foundation model and the same budget, focusing on performance in unseen scenarios and task success rates.

  6. CVer · 微信公众号83

    Harvard, Nvidia and others propose RAX: robot agent online exploration, leading by 37.4 points on average across five benchmarks

    A research team from Harvard, Nvidia, Berkeley, MIT and Stanford proposed RAX (Robot Agent eXploration), which connects a general coding agent to robot perception and control interfaces, uses online exploration to write successful decisions into executable programs and accumulate them as skills, while keeping model parameters frozen.

    Why it matters: RAX uses a frozen model plus online exploration to generate reusable programs, offering a robot learning path that does not depend on action demonstrations.

  7. 新智元 · 微信公众号58

    Qiyuan Robotics rolls out 5,000 robots, discusses fast-slow brain division of labor and Hil-UMI data paradigm

    Qiyuan Robotics announced it has rolled out 5,000 units and disclosed its Physical AI technology roadmap: a GPT-type large model serves as the S2 slow brain for high-level planning, while its self-developed VLA acts as the S1 fast brain to execute tasks such as folding clothes and tidying desktops. Its newly proposed Hil-UMI collection paradigm achieved data collection efficiency 5.63 times that of conventional real-robot HG-DAgger in a desktop-tidying experiment. The team believes general large models are a public resource, with the moat lying in the robot body, high-quality data, and the training loop, and says consumer household chores need task completion rates above 95% before they meet commercialization conditions.

  8. 新智元 · 微信公众号78

    AgiBot releases GO-3 Preview embodied model, tops three robotics leaderboards and plans full open source by year-end

    AgiBot officially released its GO-3 Preview embodied model on October 29, taking Top 1 on robotics leaderboards including RoboDojo, RoboTwin, and RoboColiseum, and expects to fully open source it by year-end.

    Why it matters: AgiBot links pretraining, post-training, and post-deployment learning into a single pipeline, which readers can use to compare differences in scaling approaches for embodied models.

  9. 戴盟机器人72

    Daimon Robotics completes hundreds of millions in strategic financing, led by Ant Group

    Daimon Robotics announced the completion of a strategic funding round of hundreds of millions, led by Ant Group with existing shareholders oversubscribing, just two months after its hundred-million-yuan Series A. The company also launched its tactile-anchored world model Daimon-TWM, with parameter scale at the 10B level, capable of real-time inference on the NVIDIA RTX 5090 platform, and claims that its average success rate on contact-intensive manipulation tasks is twice that of π0.5. Daimon has also built the tactile full-modality dataset Daimon-Infinity; after the first 10,000 hours of data were open-sourced, it received nearly 5 million downloads on the ModelScope community.

    Why it matters: Beyond the funding news, the original article also details the architecture and data-collection layout of the tactile world model Daimon-TWM, which helps in understanding the technical proposition of the tactile approach.

  10. 雷科技75

    AgiBot releases embodied foundation model GO-3 Preview, tops three major leaderboards including RoboDojo

    On October 29, AgiBot released its next-generation embodied foundation model GO-3 Preview, which uses the WRAM (World Reasoning Action Model) architecture to connect task reasoning, future prediction, and action generation. It has ranked first on three major evaluation leaderboards: RoboDojo, RoboTwin, and RoboColiseum. AgiBot plans to fully open-source it by the end of 2026.

  11. 戴盟机器人55

    Daimon Robotics presents Daimon-TWM tactile-anchored world model and full-chain physical intelligence system at IROS 2026

    At IROS 2026, held September 27 to October 1 in Pittsburgh, USA, Daimon Robotics presented its full-chain physical intelligence system spanning perception, data, and models under the theme From Touch to Intelligence, centered on the Daimon-TWM tactile-anchored world model.

  12. Xbotics具身智能实验室 · 微信公众号58

    WeRide Subsidiary JingShuo Technology Secures Tens of Millions of USD in Pre-A Funding

    WeRide disclosed that its subsidiary JingShuo Technology has received a Pre-A round of tens of millions of USD co-invested by Jiayu Capital, the HKSTP Venture Fund, Sirius Capital, and others, marking the first external capital introduced since its founding; the round is still in progress. JingShuo Technology builds data and model infrastructure with its WorldEngine data platform and self-developed world model GENESIS-Robotics, and currently has 100+ customers and ecosystem partners, with order backlog in the billions of yuan and annual revenue growth exceeding 100%.

  13. Xbotics具身智能实验室 · 微信公众号38

    From working hours and human intervention rate to human efficiency ratio: How far are robots from becoming a productive force?

    RealMan Intelligent is advancing the real-world deployment of robots through three metrics: working hours, human intervention rate, and human efficiency ratio. Its integrated joint modules have passed CR L3-level reliability certification and achieve a mean time between failures of 50,000 hours, and nearly 100 robots are already providing continuous service in industrial and commercial scenarios.

  15. Reddit r/humanoidrobotics20

    Small team launches model that generates photorealistic simulation renders from G-buffers at about 2 FPS, aimed at robotics and physical AI

    A small team has built a model that generates photorealistic simulation renders from G-buffers at about 2 FPS, aimed at robotics and physical AI. The team is surveying practitioners' simulation stacks (Isaac Sim/Lab, MuJoCo, Gazebo, Genesis, Unreal/Unity, or in-house), their environment and digital twin setup workflows, and whether their own robots reproduce well in simulation. Participants can get 1 month of free use of the team's product.

  16. 云启资本60

    PHYMI Tech releases first robot Sagi, featuring four-wheeled-legged humanoid configuration and PHYMI BRAIN 1.0

    PHYMI officially released its first robot, Sagi, on October 28. It adopts a "four-wheeled-legged humanoid configuration" combining four wheeled legs with a humanoid upper body, dual arms, and a rear box, targeting scenarios such as office delivery, community errands, and outdoor camping transport.

    Why it matters: The first four-wheeled-legged humanoid robot presents a complete design approach covering configuration trade-offs, a three-layer model, and a data system, allowing comparison with existing bipedal routes to understand the choice of form.

  17. 智源研究院 · 微信公众号40

    BAAI's "Source Innovation Program" Holds First Demo Day: Five AI Hard-Tech Projects Unveiled

    On October 26, the first demo day of the Beijing Academy of Artificial Intelligence (BAAI) "Source Innovation Program" was held at the Zhongguancun International Technology Trading Center. Five projects were unveiled: Linjie Core Technology, Lingshu Qizhi, Zhangliang Chang Technology, Cangqiong Jizhi, and Qianxiangliang Technology, covering directions including 3D self-selecting V-RRAM chips, neuromorphic embodied intelligence, Hamiltonian world models, physical intelligence in extreme environments, and unified world models of surface physical environments.

  18. 奥比中光58

    Orbbec and Daxiao Robotics sign 10,000-unit strategic procurement agreement

    Orbbec has signed a 10,000-unit strategic procurement agreement and reached comprehensive strategic cooperation with embodied intelligence company Daxiao Robotics. Orbbec will supply depth cameras, RGB cameras, and bodyless data collection hardware, along with supporting software adaptation and large-scale manufacturing and delivery. The equipment is used in Daxiao Robotics' robot bodies and environmental data collection system, supporting multi-view real-interaction data collection and providing a data source for embodied intelligence model training. The two parties have now entered the product delivery stage.

  21. Guyuehome58

    JEPLO: Terrain-Adaptive Gait Control for Quadruped Robots Based on JEPA and LiDAR Perception

    JEPLO proposes a terrain-adaptive gait control method for quadruped robots that aggregates single-LiDAR point clouds into depth observations and predicts the next-beat latent variable in latent space, without reconstructing images. The method is supplemented by teacher-student distillation and distribution regularization; pretrained weights are reproduced in simulation, and principal component analysis of the latent variables clusters clearly by terrain.

  22. Guyuehome51

    Robomimic Recurrent Behavior Cloning Policy: Likelihood Modeling, LSTM Deployment, and OSC Control Reproduction

    This content describes reproducing the lift and can manipulation tasks in MuJoCo using the official recurrent behavior cloning weights from the robomimic model zoo. It reconstructs the mathematical details of BC likelihood modeling, LSTM deployment semantics, and OSC impedance control.

  25. Guyuehome57

    WaterSpiderbot: Kinematic Modeling and Reinforcement Learning Gait Control for an Eight-Legged Bionic Spider Robot

    This material analyzes the eight-legged bionic robot WaterSpiderbot, covering forward and inverse kinematics of the three-joint leg chain, MuJoCo contact support mechanics, and the SAC gait policy, and provides a complete reproducible training loop. The article also diagnoses the structural reason why learning never starts under the default configuration and offers a fix.

  26. Guyuehome58

    Lidar-E2E: End-to-End Obstacle Avoidance Control with Onboard LiDAR for Quadrotors

    Lidar-E2E proposes an end-to-end obstacle avoidance control method for quadrotors using onboard LiDAR. It pools point clouds from a 1944-line LiDAR into a 36×6 range image, concatenates this with a 20-dimensional body state, and directly outputs attitude increments and throttle, which are executed by a low-level PX4 cascaded attitude controller. The article also derives a rotor identification model, the sensing pipeline, and reward shaping, and uses Isaac Sim.

  27. Guyuehome40

    A* and Dijkstra show no measurable difference across 18 runs in Gazebo mecanum-wheel robot simulation

    In a Gazebo mecanum-wheel robot simulation, A* and Dijkstra showed no measurable difference after 18 runs each, and the author wrote "no difference" into the conclusion. The article also discusses how to determine that an experiment showing no measurable difference is not simply the result of a flawed setup.

  28. 36Kr Embodied Intelligence22

    Sugon: Sugon storage systems have been applied in multiple scenarios including Sugon 8000, robot data collection and training, and autonomous driving

    At the 2026 Data Storage Industry Conference, Sugon showcased an "AI Data Factory" for the Token era, promoting storage's active participation in the entire AI production process to improve Token output efficiency. Sugon storage systems have been applied in multiple scenarios including Sugon 8000, robot data collection and training, and autonomous driving.

  29. Guyuehome60

    Minimum Snap: Differential-Flat Trajectory Generation and Geometric Control for Quadrotors

    An analysis of the minimum-snap quadrotor trajectory pipeline: piecewise ninth-order polynomials (ten coefficients) are solved in closed form with snap as the cost and derivative-continuity constraints, while COBYLA trades off time against smoothness. The differential-flat mapping yields thrust and attitude, and geometric control is validated in closed loop in MuJoCo.

  30. Guyuehome58

    FishSim: Tendon-Driven and Hydrodynamics-Based Propulsion Control for a Biomimetic Robotic Fish

    FishSim uses a single motor, two crossed elastic tendons, and a five-coefficient stateless fluid model to make biomimetic robotic fish propulsion an identifiable pipeline. The paper presents a comparison of simulated and real swimming speeds at eight frequencies; trajectory error fell from 592 mm to 91 mm after identification, and it discusses coefficient sensitivity and the limits of the turning experiments.

  31. New Strategy Robotics74

    AgiBot releases embodied Agent framework Genie Master, validated in real convenience-store scenarios with Physical RSI

    During AI WAVE, AgiBot released the embodied Agent framework Genie Master, which lets robots autonomously locate the causes of failures after deployment, adjust strategies, and accumulate experience. The framework proposes the Embodied Execution Protocol (EEP), unifying four types of interfaces: capability, guidance, feedback, and continuity. Through two routes, Harness RSI and Policy RSI, it retains experience in prompts and memory and solidifies it into action-policy parameters, respectively.

  32. HuggingFace Daily Papers79

    CaPtain: A Post-Training Pipeline for Code-as-Policy Robot Agents

    CaPtain proposes an open post-training pipeline that trains small open vision-language models such as Qwen3.5-4B into code-as-policy (CaP) robot agents that do not rely on VLAs, frontier models, or privileged state at test time.

    Why it matters: The work proposes using a physical critic to assign credit across multi-turn code policies and presents a complete training procedure for small models on LIBERO and real robots.

  33. AgiBot72

    AgiBot releases embodied foundation model GO-3 Preview, ranks first on three embodied intelligence benchmarks

    AgiBot has released the embodied foundation model GO-3 Preview, built on its self-developed WRAM (World Reasoning Action Model) architecture that unifies task understanding, future state prediction, and action generation, and it ranks first on three embodied intelligence benchmarks: RoboDojo, RoboTwin, and RoboColiseum. It is planned to be fully open-sourced by the end of 2026.

    Why it matters: The original article fully discloses GO-3 Preview's three-stage design of pretraining, post-training, and post-deployment learning, which can be used to understand the engineering path for scaling embodied models across their full lifecycle.

  35. HuggingFace Daily Papers71

    WorldBridge: Bridging Video and Action Experts for Task Generalization in World Action Models

    WorldBridge proposes a World Action Model (WAM) that connects separate video and action experts through structured attention and trains them with joint flow matching. On RoboTwin 2.0, using only in-distribution video-action supervision yields a 25.07% success rate on out-of-distribution tasks; adding task videos without action labels raises it to 55.90%, and adding one action-labeled demonstration per task further raises it to 70.70%.

  36. The Humanoid Hub27

    Tesla Cancels Thanksgiving Investor Tour; Optimus Data Collection and 'Academy' Plan Draw Attention

    Tesla did not invite major investors to tour the Fremont factory this Thanksgiving as it has in past years, a move interpreted as extending the confidentiality period for the Optimus facility. Sources cited by Scobleizer say human data collection is 'massive in scale,' covering both home and factory scenarios; data collection operator positions appeared at Tesla about three years ago, requiring workers to wear 30-pound equipment.

Oct 28Wed
  1. APPSO · 微信公众号71

    Google DeepMind releases world model Genie 4, extending single simulation to 120 seconds

    Google DeepMind has released Genie 4, a new-generation world model that extends single interactive simulation duration from about one minute to two minutes and supports native audio generation for the first time. Genie 4 introduces Gemini to plan actions while it generates the environment in real time; in a demo, Gemini 4 Argon breaks a task into consecutive steps, and Genie 4 simulates the Apptronik Apollo humanoid robot playing checkers.

  2. 机器人全球资讯 · 微信公众号70

    AgiBot releases embodied Agent framework Genie Master; Genie G2 works and evolves in a convenience store

    AgiBot has released its embodied Agent framework Genie Master. Equipped with this framework, Genie G2 has taken a job in a real convenience store, where it does not rely on manual demonstrations or debugging; it autonomously identifies the causes of failures, adjusts its strategies, and accumulates experience, continuously improving on tasks such as packaged hot-food preparation, picking, and restocking, achieving self-evolution without a human in the loop.