DeepMind 发布 Gemini Robotics 2.5，奔驰产线试点分拣成功率达 96%
原标题：Google DeepMind's Gemini Robotics 2.5 scores 96 percent sorting metal parts in a Mercedes-Benz assembly pilot
AI 摘要
Google DeepMind 发布视觉-语言-动作模型 Gemini Robotics 2.5，称其相比自家此前基线在多种任务上成功率提升 30% 至 100%，完成任务速度提升 20% 至 30%。该模型与 Apptronik 的 Apollo 2 人形机器人、梅赛德斯-奔驰合作，在匈牙利和德国的在产装配线上完成金属零件分拣试点，报告成功率达 96%。DeepMind 还开源了 ASIMOV-Jailbreak 安全基准，并透露使用 Gemini 4 Argon 语言模型作为仿真引擎生成训练数据。
正文节选
Google DeepMind's Gemini Robotics 2.5 scores 96 percent sorting metal parts in a Mercedes-Benz assembly pilot Key Points - Google Deepmind introduced Gemini Robotics 2.5, a new VLA model it says performs 30 to 100 percent better than its own previous baselines depending on the task type. - On active Mercedes-Benz production lines in Hungary and Germany, Apptronik's humanoid robot Apollo 2 sorted metal parts with a reported success rate of 96 percent. - Google Deepmind uses its language model Gem