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Robustness to Disturbances
The ability of a robot control policy to maintain successful task completion despite external perturbations (pushes, unexpected contacts, wind), sensor noise, and actuator disturbances. Robustness is improved through: domain randomization (training on varied dynamics), adversarial training, and uncertainty-aware policies. It is a prerequisite for real-world deployment.