Google DeepMind Ships Three Physical AI Models For Whole Body Control, Dexterity And Multi Robot Collaboration
MarkTechPost Asif Razzaq ● Covered by 4 sources
Google DeepMind released Gemini Robotics 2, a suite of three AI models for controlling robots across whole-body movement, multi-finger dexterity, and multi-robot collaboration. The system achieves success rates ranging from 32% to 92% depending on task complexity, with one model checkpoint controlling multiple robot embodiments including the Apptronik Apollo 2 and Franka Duo. Robots can now adapt to unpredictable environments, transfer skills between different bodies, and coordinate with other robots on shared tasks rather than relying on pre-programming or teleoperation.
Why it matters
Google DeepMind has released Gemini Robotics 2, the intelligence layer for its next generation of robots. The release ships three models: a vision-language-action model for whole body humanoid control, Gemini Robotics ER 2 for embodied reasoning and task orchestration, and an on-device VLA that adapts to new robot bodies in hours. One checkpoint drives Apptronik Apollo 2 and a Franka Duo. Only ER 2 is publicly available. The post Google DeepMind Ships Three Physical AI Models For Whole Body Control, Dexterity And Multi Robot Collaboration appeared first on MarkTechPost.
