Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration

AI 中文解读

Gemini Robotics ER 2来了！这是谷歌DeepMind最新发布的机器人AI模型，核心亮点是让机器人能像人一样看懂视频、拆解复杂任务，甚至多台机器协同作业。以前机器人只能理解静态的图片，现在它已经能看懂动态视频，比如通过观察一段演示过程来学习新技能。你让它“把碗放到桌上”，它不再机械执行，而是能自己规划先抓好碗、避开障碍物、再平稳放下，一气呵成。更重要的是，支持多机器人协作，一个递东西、一个接住摆放，就像真人团队一样分工明确。这意味着未来机器人将真正走进日常生活：家庭场景里，几台机器可以分工把厨房收拾整洁；仓库中，机器人团队能高效分拣和打包包裹；对于盲人或肢体不便的人，懂得看视频的机器人还可以通过观察示范动作来提供更精准的陪伴护理。机器人不再是工厂里死板的机械臂，而正在变成我们身边会看、会想、会配合的生活搭档。

{ "reading_time": "[[read\u002Dtime]] min read" } Breadcrumb Home Innovation & AI Models & research Google DeepMind Introducing Gemini Robotics ER 2 Jul 30, 2026 | x.com Facebook LinkedIn Mail Copy link Gemini Robotics ER 2 represents a step change in powering robots with video understanding, task orchestration, and multi-robot collaboration — making it possible for robots to be more helpful in the physical world. Steven Hansen Senior Staff Software Engineer Peng Xu Staff Software Engineer Share x.com Facebook LinkedIn Mail Copy link class ProgressiveImage { EVENTS = { TRANSITION_END: 'transitionend', }; CSS_CLASSES = { BLUR: 'uni-progressive-image--blur', NO_BLUR: 'uni-progressive-image--no-blur', }; init(el) { this.el = el; this._events(); this._upgradeImage(); } _upgradeImage() { // For gif format images we don't include data-srcset and data-sizes // We can safely remove the blur filter. if (!this.el.dataset.srcset || !this.el.dataset.sizes) { this.el.classList.add(this.CSS_CLASSES.NO_BLUR); return; } this.el.setAttribute('srcset', this.el.dataset.srcset); this.el.setAttribute('sizes', this.el.dataset.sizes); requestAnimationFrame(() => { this.el.classList.add(this.CSS_CLASSES.NO_BLUR); }); } _events() { // Once the transition completes is safe to clean some attributes this.el.addEventListener(this.EVENTS.TRANSITION_END, () => { this.el.classList.remove(this.CSS_CLASSES.BLUR, this.CSS_CLASSES.NO_BLUR); this.el.removeAttribute('data-srcset'); this.el.removeAttribute('data-sizes'); }); } } document.addEventListener('DOMContentLoaded', () => { const images = document.querySelectorAll('[data-component="uni-progressive-image"]'); images.forEach((el) => {