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Open artifacts Latest coverage

Robotics coverage relating to open artifacts.

309 selected reportsLast 30 days 306 recordsAll coverage 824 records

updated

Signal archive — Page 14

2026-10-30Fri261–280 records
  1. Robotics & Automation News75

    Bleu Robotics Raises €5 Million to Scale Humanoid Robot Deployment in Factories

    Bleu Robotics, a Paris-based startup, has raised €5 million in a pre-seed round to scale its software solution for industrial humanoid robots. The company aims to reduce the full deployment process to under an hour by using abductive learning, which enables robots to learn new tasks from as few as ten operator demonstrations. This approach eliminates the need for large datasets and long training cycles, allowing for cost-effective and scalable deployment in manufacturing settings.

  2. Robotics — Robot learning news discovery72

    KRAFTON Develops Socially Intelligent AI for Robots to Better Understand People

    KRAFTON, the company behind the global gaming phenomenon PUBG: BATTLEGROUNDS, is advancing research into socially intelligent robots through its subsidiary Ludo Robotics. The company has developed Ludi 0.2, an updated robotic intelligence system that enhances a robot's ability to interpret human intent, respond to feedback, and adapt to changing environments. The system integrates vision-language models, navigation, and manipulation capabilities, with a focus on social intelligence, memory, gesture interpretation, and physical movement. Ludo Robotics aims to bring conversation, reasoning, and physical action together to enable more natural human-robot collaboration.

  3. Tech Xplore — Robotics78

    Armored caterpillars offer robot designers lessons in crossing slippery glass

    Researchers from the University of Naples Federico II and the University of Palermo studied how caterpillars move across various surfaces, including glass, and developed a mathematical model to simulate their locomotion. By adding artificial armor and weights, they improved the caterpillars' ability to crawl on smooth surfaces, offering insights for the design of bio-inspired soft robots.

  4. Tech Xplore — Robotics68

    Fast Feature Field: Bridging the Gap Between Event Cameras and Robot Vision

    Researchers at the University of Pennsylvania have developed Fast Feature Field (F³), a computational tool that efficiently transforms data from event cameras into usable information for robots. This tool enables robots to interpret event-camera data more effectively, improving their ability to recognize objects, estimate distances, and perceive motion in diverse lighting conditions. F³ could enable real-time event-based perception for various robotic platforms, including drones and self-driving cars.

  5. Tech Xplore — Robotics82

    Robot Moth Grows UV Sensor Using Artificial Circulatory System

    Researchers from the University of Tartu and the Italian Institute of Technology developed a moth-shaped robot that uses an artificial circulatory system to deliver chemical building blocks and grow a light sensor where UV light strikes. The robot's body is 3D-printed with microchannels that allow fluid to flow, enabling the synthesis of a conductive polymer sensor. This approach allows the robot to create new hardware on-site, enhancing its adaptability to unpredictable environments.

  6. IEEE Spectrum — Robotics72

    Video Friday: Spot Demonstrates Whole-Body Manipulation

    IEEE Spectrum's Video Friday highlights Spot's whole-body manipulation capabilities, along with other robotics projects such as humanoid mobility, robotic hands, and specialized industrial robots. The video also includes demonstrations of AI-driven drone racing and energy-efficient amphibious robots, showcasing the breadth of current robotics innovation.

  8. Machine Heart — Robotics on WeChat82

    Value as Memory: Online Value-Guided Post-training for General Robot Policies

    This research introduces VaM, a reinforcement learning framework that uses recent value predictions as task progress memory to enhance robot autonomy. VaM enables robots to continuously adapt to new states during deployment by integrating offline and online learning. The method shows significant improvements in task success rates, with over 95% success in a 4-hour continuous box assembly task. The paper also highlights the effectiveness of value caching in distinguishing visually similar states and triggering corrective actions.

  10. Chinese robotics — Company news discovery75

    Tianjin Wangyuan Intelligent Technology Advances Second HKEX IPO Attempt After Regulatory Filing

    Tianjin Wangyuan Intelligent Technology has received a filing notice from the CSRC for its second attempt at an HKEX IPO, following the failure of its initial submission in September 2025. The company plans to list up to 12.68855 million shares and convert 14.713864 million domestic unlisted shares held by 16 shareholders into offshore-listed shares. Founded in 2005, Wangyuan specializes in pool cleaning robots under its WYBOT and Winny brands, holding a 9.2% global market share in 2024 and leading the cordless segment with 19.7%. Revenue grew 49.4% to 812 million yuan in 2025, driven by a shift from ODM to branded sales, though net profit margins declined due to sharply rising marketing expenses.

  11. Chinese robotics — Hardware and sensing85

    PrimeSim: A World Model Simulator for Robotics Tasks

    PrimeSim, developed by Qihuan's Embodied Research Center, is a world model simulator that transforms a pre-trained video generation model into an interactive simulation environment for robotic manipulation. It achieves top scores on two benchmark tests, demonstrating its ability to simulate complex robotic interactions with high fidelity and efficiency.

  14. Robotics — Web news discovery72

    AI Robotics May Need 10 Million Hours of Interaction Data to Reach Production-Level Capabilities

    A Goldman Sachs report highlights that general-purpose AI robotics may require approximately 10 million hours of high-quality, multimodal interaction data to achieve production-level capabilities. The report identifies key challenges in physical interaction data, spatial perception, and real-time execution, suggesting that advances in AI models alone may not be sufficient for commercial viability without improvements in physical precision and reliability.

  15. Chinese robotics — Robot learning research68

    Bosin Hecreate Headquarters (Suzhou) Officially Launched, Accelerating Industrial Embodied Intelligence Industrialization

    Bosin Hecreate, a joint venture between Bosch Group's Boryan Capital and Galaxy General, officially launched its headquarters in Suzhou, marking a key step in advancing industrial embodied intelligence. The event highlighted the company's focus on real-world application, collaboration with industry partners, and plans for scaling production and global expansion.

  16. Chinese robotics — Company news discovery68

    Company Leads in Intelligent Patrol Robot Project Securing Funding from Rail Transit Division

    A company-led project on 'multi-scenario intelligent patrol robot technology development and application' has been approved for funding by China Communications Construction Corporation's rail transit division, receiving 800,000 yuan in support. This marks the first successful outcome of the company's 'posting a challenge' mechanism, highlighting progress in intelligent rail equipment. The project focuses on tunnel patrol and substation maintenance, utilizing a dual-purpose robot dog to enhance safety, efficiency, and reduce human labor.

  17. arXiv Robotics — research abstracts78

    ActionUNet: Improving Robustness of VLA Models with Efficient Multi-scale Fine-tuning

    This research proposes ActionUNet, an efficient multi-scale fine-tuning framework for Vision-Language-Action (VLA) models. By integrating a lightweight temporal U-Net and a conditional SIREN decoder, the method enhances temporal continuity and reduces mechanical oscillations, leading to improved success rates in simulated and real-world robotic tasks.

  18. arXiv Robotics — research abstracts82

    GlanceWAM: Sparse Test-Time Imagination for World-Action Models

    GlanceWAM is a world-action model that enables real-time inference and high task success rates by asynchronously generating visual imagination in the background while decoding actions in latent space. It outperforms synchronous baselines in both simulation and real-world robotic tasks, achieving 72.2% on RoboCasa and 99.0% on LIBERO with significantly reduced control latency.

  19. arXiv Robotics — research abstracts82

    DAWN: Diffusion-based Alignment and unfastening Workflow Network

    This paper presents DAWN, a hierarchical robotic framework for performing real-world unfastening tasks through multi-modal sensory integration. The framework is divided into two stages: alignment & insertion, and unfastening, with three key components—AlignNet, LatchNet, and UnfastNet—ensuring precise engagement, reliable stage transitions, and stable force-controlled removal. Experimental results on a Franka Emika robot show success rates comparable to human operators, with ablation studies highlighting the method's scalability and data efficiency.

  20. arXiv Robotics — research abstracts75

    RoboSeed: Multidimensional Evaluation of Vision-Language-Action and World-Action Models

    This paper presents RoboSeed, a framework for evaluating vision-language-action (VLA) and world-action models across five dimensions: capability, downstream training affordability, deployment affordability, locally verified research value, and reproduction evidence. The authors apply the framework to representative models to reveal budget-dependent backbone choices and sensitivity to adaptation recipes, while noting that incomplete serving traces prevent overall numerical rankings.

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