X Square introduces WALL-SS long-horizon robotic world model
X Square Robot released WALL-SS, a next-scale autoregressive world model for action-controllable robotic simulation, long-horizon visual rollout and policy evaluation.
Evidence notes
- WALL-SS generated action-conditioned streaming rollouts up to 60 seconds while retaining recent history at fine resolution and compressing older state under a bounded memory budget.
- Across 600 matched simulated and physical rollouts on six manipulation tasks, task-level success rates had mean absolute error of 0.062 and Pearson correlation of 0.93.
- A co-trained action expert controlled a physical bimanual platform across seven tabletop tasks and reached average Task Progress of 69.1, ahead of the three reported comparison policies.
Company context
Full-stack embodied-AI robotics company developing WALL foundation models, Quanta robot platforms and dexterous hands for manipulation-heavy service, home, logistics and research workflows.