# WAM: Training a world model with quadruped robot locomotion data for navigation planning

- Source: Guyuehome
- Published: 2026-11-03T03:22:00.000Z
- RoboHot: https://robohot.news/en/items/k8442uutred30m4hfwm32q7r0
- Original: https://www.guyuehome.com/detail?id=2112371719583854593

## Summary

WAM trains a forward-dynamics world model on quadruped robot locomotion data collected under convex model predictive control, replaces hand-crafted steering laws with receding-horizon sampling planning, and combines A* global paths with dynamic obstacle extrapolation to achieve navigation and obstacle avoidance. The material states that all numerical values come from local reproduction experiments.