An Real-Sim-Real (RSR) Loop Framework for Generalizable Robotic Policy Transfer
The episode discusses a Real-Sim-Real (RSR) Loop Framework for Generalizable Robotic Policy Transfer. The framework iteratively refines simulation parameters using real-world data via physical loss minimization and trains policies using an adaptive InfoGap cost function. This structured, closed loop aims to reduce the sim-to-real gap by continuously improving both the simulator and the policy.