SimDist Framework Boosts Failing Policies to 90% Success with 15-30 Mins of Data
abhishekunique7 · x · 2026-07-13
Researchers will present a robotic policy optimization framework named SimDist at the RSS 2026 conference.
The highlight of this framework is that it requires only 15 to 30 minutes of additional data to drastically improve previously failing robot control policies to a success rate of around 90%. The author will also deliver a related presentation in the "World Models and Memory" session.
More from Embodied
- Humanoid walking is continuous correction — watch recovery, not locomotion, in demos — Olivier__OG · 2026-10-26
- CircuitHub unveils The Grid, a factory-scale robot making PCBs in the US twice as fast as Shenzhen — garrytan · 2026-10-26
- AI researchers guessed robots wouldn't outrun humans until 2034 — it already happened — ben_j_todd · 2026-10-26
- Shanghai AI Lab-led team releases 100-hour egocentric wearable dataset for humanoid training — ChuckDBrooks · 2026-10-26
- RealSense D585 Pro AI-Powered 3D Stereo Depth Camera Unboxed for Physical AI — chrismatthieu · 2026-10-26
- Physical world agent swarm demo shared on X — pduan · 2026-10-26