Gemini Robotics 2 reaches whole-body control
Google DeepMind expanded its robotics model from upper-body tasks to coordinated locomotion, posture changes and manipulation across embodiments.
Market Driver: generalization
Gemini Moves From Manipulation to Whole-Body Control
Gemini Robotics 2 reporting extends control toward locomotion, dexterity and coordinated whole-body tasks.
Action-Conditioned World Models Move Into Planning
Action-conditioned predictive models are used to improve generalizable embodied decision-making.
Google DeepMind releases Gemini Robotics 2
Gemini Robotics 2 expands robot planning, dexterity, and full-body control across humanoid and task-oriented platforms.
World Action Planner links prediction directly to decisions
The World Action Planner uses action-conditioned world models to improve generalizable robot decision-making.
