# TRAIN: A reinforcement learning framework for terrain-aware interactive navigation for quadruped robots

- Source: arXiv cs.RO
- Published: 2026-10-19T04:00:00.000Z
- RoboHot: https://robohot.news/en/items/muafpqyfodjbhu37fgfp78rp1
- Original: https://arxiv.org/abs/2602.12724

## Summary

TRAIN proposes a two-stage deep reinforcement learning framework that, through the TRAIN-Loco and TRAIN-Nav pipelines, enables quadruped robots to achieve terrain-aware navigation in unstructured terrain and human-populated environments. Benchmarks compared quadruped locomotion and robot navigation baselines, and hardware experiments verified its sim-to-real transfer potential.