Action-Conditioned World Models Move Into Planning
Action-conditioned predictive models are used to improve generalizable embodied decision-making.
Action-conditioned predictive models are used to improve generalizable embodied decision-making.
An AMD-accelerated stack spans data-center training, simulation and Ryzen AI edge deployment for VLA manipulation.
Foundation selected AMD Ryzen AI Embedded processors for its next humanoid platform, linking embedded compute directly to industrial deployment.
Previously authorized models are not automatically banned, but regulatory uncertainty now extends to installed products.
The restriction applies to new Chinese humanoid models and took effect upon publication.
The measure extends beyond humanoids, broadening the impact across Chinese mobile robotics exports.
The determination links advanced robots to data collection, remote exploitation and critical-infrastructure risks.
The on-device model was reported to adapt rapidly across robots with differing sensors and embodiments.
Google broadened dexterity, multi-step execution and the separation of higher-level planning from physical control.
Gemini Robotics 2 extends control toward walking, crouching, dexterous manipulation and coordinated whole-body tasks.