Robot Policies Trained in a Day via Massive Parallel Sims and Lidar Mapping

Developers showed rapid robot training: one trained deployable policies in a day using 4x GH200 GPUs with 16,000 parallel environments each, while another adapted AME2 neural mapping to a G1 robot with Livox lidar in the same timeframe.

2026-08-17 ~ 2026-08-17 · 2 related posts

• AME2 neural mapping adapted for Livox lidar trained within 1 day — ChongZzZhang · 2026-08-17
• Robot Training Breakthrough: 16K Parallel Envs per GPU, 1-Day Training — ChongZzZhang · 2026-08-17