World Models Receive a Security Threat Model
Researchers map cyber-physical attacks across sensing, world modelling, planning, control and human interaction.
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.
RedFlow converts failed robot actions into localized corrections for vision-language-action policy improvement.
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.
The work argues embodied operators should be evaluated as holistic deployable components rather than isolated models.
Researchers consolidate fragmented human-robot teamwork requirements into six categories and twenty-one subcategories.