Safe Agent Execution Gets Localized Obligations
HALO proposes localized obligations for admitting and supervising heterogeneous agent actions safely.
HALO proposes localized obligations for admitting and supervising heterogeneous agent actions safely.
The research introduces temporally constrained latent-action learning for more coherent embodied control.
German researchers evaluated lightweight personalized memory for sustained human-humanoid interaction.
Korean researchers transfer structural motion priors from robot arms to coordinated aerial relay planning.
Action-conditioned predictive models are used to improve generalizable embodied decision-making.
RedFlow converts failed robot actions into localized corrections for vision-language-action policy improvement.
Researchers map cyber-physical attacks across sensing, world modelling, planning, control and human interaction.
A framework integrates hardware degradation into autonomous planning, mission execution and maintenance decisions.
RynnWorld-Teleop combines action conditioning, depth awareness and skeletal structure for egocentric teleoperation prediction.
The work argues embodied operators should be evaluated as holistic deployable components rather than isolated models.