Powering the future of robotics in Europe

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Powering the future of robotics in Europe

赋能欧洲机器人技术的未来

AI has the potential to help solve some of the world’s biggest challenges — not just in the digital realm, but in the physical world, too. Robotics is one of the most exciting frontiers of AI, where advances in language, vision and action models can help create intelligent machines that interact with the real world in safer, more helpful and more adaptive ways. 人工智能不仅在数字领域，在物理世界中也具有解决全球重大挑战的潜力。机器人技术是人工智能最令人兴奋的前沿领域之一，语言、视觉和行动模型的进步，有助于创造出能以更安全、更有帮助且更具适应性的方式与现实世界交互的智能机器。

That’s why we’re launching the Google DeepMind Accelerator: Robotics, a three-month program for early-stage robotics startups across Europe. This week, the selected startup founders are coming together to kick off the program, meet the Google DeepMind and Google teams, and begin a journey designed to support the next generation of physical AI. They’ll have access to our AI stack, technical expertise and Gemini robotics models. 因此，我们推出了“Google DeepMind 加速器：机器人技术”项目，这是一个为欧洲早期机器人初创公司提供的为期三个月的计划。本周，入选的初创公司创始人齐聚一堂，共同启动该项目，与 Google DeepMind 和 Google 团队会面，开启一段旨在支持下一代物理人工智能的旅程。他们将获得我们的 AI 技术栈、专业技术知识以及 Gemini 机器人模型的支持。

Selected from a strong pool of applicants, these startups will receive hands-on support from Google DeepMind and Google experts throughout the program. Through technical mentorship, product guidance and a wide network of partners, the accelerator will help founders turn cutting-edge AI research into real-world robotics applications. The cohort joining us in London this week reflects the breadth of opportunity in embodied AI — from logistics and manufacturing to healthcare, climate, and advanced navigation. 这些初创公司从众多优秀的申请者中脱颖而出，将在整个项目期间获得来自 Google DeepMind 和 Google 专家的实践支持。通过技术指导、产品建议以及广泛的合作伙伴网络，该加速器将帮助创始人将尖端的人工智能研究转化为现实世界的机器人应用。本周在伦敦加入我们的团队反映了具身智能（Embodied AI）领域的广阔机遇——涵盖了从物流、制造到医疗保健、气候和先进导航等多个领域。

Meet the startups and founders shaping the future of robotics and embodied AI: 以下是正在塑造机器人技术和具身智能未来的初创公司及其创始人：

  • 3D-Components AS (Norway): Developing RobTrack, an AI-driven platform that automates parameter selection and quality control for robotic welding and metal 3D-printing, 280X faster than current practices. 3D-Components AS（挪威）： 开发了 RobTrack，这是一个人工智能驱动的平台，可实现机器人焊接和金属 3D 打印的参数选择与质量控制自动化，速度比现有实践快 280 倍。

  • Acumino (Greece): Develops hardware-agnostic Physical AI that enables robots to perform complex industrial tasks in a scalable, cost-efficient, reliable manner with high ROI. Acumino（希腊）： 开发了与硬件无关的物理人工智能，使机器人能够以可扩展、高性价比、可靠且高投资回报率的方式执行复杂的工业任务。

  • Adapta Robotics (Romania): Deploys physical AI replicating human touch to test devices and software for healthcare, automotive and consumer electronics, unlocking automated QA and supporting the circular economy. Adapta Robotics（罗马尼亚）： 部署了模拟人类触觉的物理人工智能，用于测试医疗保健、汽车和消费电子领域的设备与软件，从而实现自动化质量保证（QA）并支持循环经济。

  • AUAR (Automated Architecture) (United Kingdom): Makes homebuilding more affordable by deploying robotic MicroFactories directly to construction sites. AUAR (Automated Architecture)（英国）： 通过直接在建筑工地部署机器人“微型工厂”（MicroFactories），使房屋建造更加经济实惠。

  • Bubble Robotics (France): Building the ocean’s autonomous workforce: a vessel-free constellation of self-docking surface and subsea robots that see, hear, and act, feeding a live underwater world model. Bubble Robotics（法国）： 正在构建海洋的自主劳动力：一个无需船只支持的自对接水面和水下机器人集群，它们能够看、听、行动，并实时反馈水下世界模型。

  • Danu Robotics (United Kingdom): Uses embodied AI robotic systems to automate complex waste sorting, increasing efficiency, improving safety, and enabling scalable recovery of valuable materials that supports the circular economy. Danu Robotics（英国）： 利用具身智能机器人系统实现复杂垃圾分类的自动化，提高效率、改善安全性，并实现有价值材料的可扩展回收，从而支持循环经济。

  • Deltia GmbH (Germany): Digitizes production-line work, transforming workflows into process graphs that help teams optimize manual processes and automate repetitive tasks so people can focus where they matter most. Deltia GmbH（德国）： 将生产线工作数字化，将工作流程转化为过程图，帮助团队优化手动流程并自动化重复性任务，使人们能够专注于最重要的事情。

  • Embodied AI (Switzerland): Deploys teleoperated humanoids that collect data during customer service to continuously train and improve their manipulation skills. Embodied AI（瑞士）： 部署远程操控的人形机器人，在客户服务过程中收集数据，以持续训练和提高其操作技能。

  • Extend Robotics (United Kingdom): Provides teleoperation software and data pipelines that help train and fine-tune foundation models for real-world robotics applications. Extend Robotics（英国）： 提供远程操作软件和数据管道，帮助训练和微调用于现实世界机器人应用的基础模型。

  • Forgis (Switzerland): Develops AI agents that understand machines like experienced engineers, predicting failures and optimizing operations. Forgis（瑞士）： 开发能够像经验丰富的工程师一样理解机器的人工智能代理，用于预测故障并优化运营。

  • Generative Bionics (Italy): Amplifies human potential by developing humanoid robots based on physical AI, developed in Europe but built to scale globally. Generative Bionics（意大利）： 通过开发基于物理人工智能的人形机器人来增强人类潜能，这些机器人由欧洲研发，旨在实现全球化扩展。

  • Qualia (Denmark): Building infrastructure that enables companies to turn robotic foundation models into working deployments, automating and optimising time-consuming manual labor. Qualia（丹麦）： 构建基础设施，使公司能够将机器人基础模型转化为实际部署，从而自动化并优化耗时的体力劳动。

  • ROBEAUTE (France): Building microrobots that navigate through brain tissue to diagnose, treat and monitor neuropathology, establishing a new physical infrastructure layer in neurosurgery. ROBEAUTE（法国）： 制造能够在脑组织中导航的微型机器人，用于诊断、治疗和监测神经病理学，在神经外科领域建立了一个新的物理基础设施层。

  • Staer (Sweden): Uses compu… (Note: The original text was truncated here.) Staer（瑞典）： 使用计算…（注：原文在此处截断。）

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