Embodied Reasoning Expands to Longer Tasks
Google separated higher-level planning from physical control while broadening multi-step task execution.
Google separated higher-level planning from physical control while broadening multi-step task execution.
Action-conditioned predictive models are used to improve generalizable embodied decision-making.
Google broadened dexterity, multi-step execution and the separation of higher-level planning from physical control.
The World Action Planner uses action-conditioned world models to improve generalizable robot decision-making.
Google separated higher-level planning from physical control while broadening dexterity and multi-step task execution.
Researchers map cyber-physical attacks across sensing, world modelling, planning, control and human interaction.
The work uses action-conditioned predictive models to improve generalizable embodied decision-making.
Korean researchers transfer structural motion priors from robot arms to coordinated aerial relay planning.