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From Digital Twins to Data Engine: Cutting the Real-Data Burden with Sim-Powered Robot Learning Teaching a robot a new task could take hundreds of teleoperated demonstrations. For foundation models, adapting to an entirely new robot can cost orders of magnitude more — dedicated hardware, trained operators, months of engineering. On @boosterobotics' dual-arm robot, we studied this at two levels: ✱ Specialist: Can task-aligned simulation mixed with a small set of real demonstrations reduce the real-data burden? ✅ Yes. With only 10 real demos, the policy made no contact at all in physical rollouts (0/20). Adding 50 simulated trajectories brought contact to 17/20. ✱ Foundation: Can data accumulated across tasks build a reusable starting point (a Booster-specific model prior)? ✅ Yes. After full-parameter continued pretraining, a model adapted with just 30 demonstrations per task beat the original given twice as many: 14/16 vs 10/16 in simulated evaluation. Before any task-specific adaptation, in zero-shot simulation, it was already roughly 3× closer to the target (17.27 cm → 5.78 cm). This work runs on Axis Suite, our Physical AI solution across different robot embodiments. Distributed contributors generate task-aligned sim data on Axis Hub at scale, reducing real-data needs for specialist adaptation while powering cross-embodiment generalist training. Read the full blog:

The BattleBots Pro League standings are about to get a whole lot more complicated. - Can The Twins keep surprising everyone? - Can Terrortops continue its rise? - And can Orbitron prove AI belongs in the big leagues? Watch FREE worldwide on YouTube. Powered by Bright Data.

BattleBots Pro League Episode 8: The standings are tightening. The Twins look to keep their dream season alive. Orbitron and Switchback battle for critical Pro League points. And every fight could change the Group Stage picture. FREE worldwide on YouTube.

🚨 Pro League Episode 8 Live Now: - Jackpot vs The Twins. - Skorpios vs Terrortops. - Switchback vs Orbitron. The race for the Pro League Championship just got serious. Watch FREE worldwide on YouTube. Powered by Bright Data

Think AI can win BattleBots? This Thursday, Orbitron takes on Witch Doctor in one of the most anticipated fights of the Pro League. Plus: Bloodsport vs Minotaur and Cobalt vs The Twins. Watch FREE worldwide on YouTube. Powered by Bright Data

Converting flat satellite maps into fully interactive 3D digital twins used to take weeks of manual 3D modeling and GIS engineering Now, a single tool can process geospatial satellite data and reconstruct the complete 3D geometry of any building on Earth in seconds Here is how the spatial extraction actually works: First, you select a structure on a standard satellite map. The software reads the footprint, elevation data, and height boundaries Next, it automatically generates a volumetric 3D wireframe mesh, rendering the physical layout in real time From there, you can apply a cross-section slice to cut through individual floors, revealing subterranean basements and foundation depth Finally, you can drop into a first-person view to physically navigate interior corridors, stairwells, and room layouts This bridges the gap between static geospatial map data and immersive 3D spatial simulation for architecture, urban planning, and spatial analysis