World Models in AI Systems

• Design prompt: Sketch a world model for a chosen domain (e.g., warehouse robotics). Specify encoder signals, dynamics targets, planning style, and safety constraints. List 3 evaluation metrics
• Failure analysis: Describe how your design would detect OOD states and what fallback actions it would take
• Experiment plan: Propose an ablation study to isolate the contribution of uncertainty handling to planning success rate
• Paper walk-through: Select a recent world model paper and map its components to V/M/C; identify the training objectives and evaluation metrics used

World models represent a shift toward predictive, planning-capable AI systems that reason about future states—essential for reliable autonomy in complex, dynamic environments.