Google DeepMind让机器人Apollo 2掌握精细厨房杂务
看看Google DeepMind怎么让Apollo 2机器人像人一样干厨房细活，灵巧操作不再是难题。
Google DeepMind演示了机器人Apollo 2在精细运动控制上的进步，完成包括倒液体、抓取易碎物品等复杂厨房任务。
该机器人通过AI模型协调多关节动作，展示了从仿真环境到真实世界的迁移能力。此次突破解决了机器人灵巧操作中长期存在的控制精度难题。
To be truly useful, a robot needs the dexterity that humans take for granted. But asking AI models to coordinate these motions is incredibly complicated. In this demo, we pushed Apollo 2 to master fine motor skills and complete tricky kitchen chores ↓
This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Apollo 2, Google DeepMind, robots, dexterous manipulation.
Source attribution: curated from Google DeepMind (@GoogleDeepMind).
