From simulated success to reliable behavior in the physical world
Explore how roboticists train policies in simulation and make them work on real hardware. This lens covers environment design, domain randomization, system identification, adaptation, and the stubborn gaps that emerge when robots encounter real contact, sensors, and uncertainty.
last updated on Sep 27, 2026
RoboPapers: Sim-to-Real
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Ep#60: Sim-to-Real Manipulation with VIRAL and Doorman
VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation