Real-to-sim-to-real is praised as a key scaling path for physical RL
DrJimFan · x · 2026-07-29
Real2sim2real is framed here as one of the best ways to scale environments for physical RL.
The reply argues that reinforcement learning is fundamentally about environments, and that building better simulated environments is a key lever for scaling physical robot training.
Related event: World Labs Unveils R2S2R Platform to Train Robots via Spatial Intelligence(5 posts)→
More from Embodied
- LLMs on robots jump real-world success from 16.7% to 97.3% — tri_dao · 2026-07-29
- Simple teleoperation recordings plus soft compliance can solve more robot tasks than expected — ihorbeaver · 2026-07-29
- Robot lawn mower becomes a meme about getting the lawn without the work — justalexoki · 2026-07-29
- Tesla owner says FSD costs about $1 a day and cuts insurance by $66 a month — DMaguireARK · 2026-07-29
- Jared Isaacman: Humanoid Robots Will Build Lunar Infrastructure Before Humans — PeterDiamandis · 2026-07-29
- A $300 Meta Ray-Ban glasses demo maps photos to exact locations — bilawalsidhu · 2026-07-29