Google DeepMind's Gemini Robotics 2.5 achieves 96% part-sorting success in Mercedes-Benz pilot
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Google DeepMind released Gemini Robotics 2.5, a vision-language-action model for robot control, and with Apptronik tested it on live Mercedes-Benz lines in Kecskemét, Hungary and Sindelfingen, Germany. The Apollo 2 humanoid performed kitting—sorting metal parts from bins into trays—with a reported 96% success rate, while Gemini Robotics ER monitored workflow alongside the control model.
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