World Models Receive a Security Threat Model
Researchers map cyber-physical attacks across sensing, world modelling, planning, control and human interaction.
Topic: world-models
Action-Conditioned World Models Move Into Planning
Action-conditioned predictive models are used to improve generalizable embodied decision-making.
Teleoperation Data Gains an Action-Conditioned World Model
RynnWorld-Teleop combines action conditioning, depth awareness and skeletal structure for egocentric teleoperation prediction.
World-model research identifies limits in learning hidden physical parameters
A controlled study found prediction objectives determine whether robot world models retain mass, stiffness, drag, and force information.
World Models Receive a Security Threat Model
Researchers map attacks across sensing, world modelling, planning, execution, feedback and long-term adaptation.
General multimodal model shows emergent embodied reasoning
An exploratory mobile-robot study reports spatial memory and action consequence reasoning from a general multimodal model.
World Action Planner links prediction directly to decisions
The World Action Planner uses action-conditioned world models to improve generalizable robot decision-making.
World Models Receive a Security Threat Model
Researchers map cyber-physical attacks across sensing, world modelling, planning, control and human interaction.
Action-Conditioned World Models Move Into Planning
The work uses action-conditioned predictive models to improve generalizable embodied decision-making.
ACE Robotics Links World Models to Deployment
ACE Robotics introduced Kairos 3.1 and presented an embodied-AI stack spanning data generation, world models, control and deployment.
