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Forget tedious calibration – DOT-Sim lets you train tactile perception policies in simulation and deploy them directly to real robots with impressive accuracy, thanks to its physically accurate and rapidly calibrated model.
VLAs aren't just memorizing training data; sparse autoencoders reveal a hidden layer of generalizable motion primitives that can be steered to control robot behavior across tasks.
Forget retraining: you can steer a robot's behavior in real-time by nudging its internal representations with lightweight, targeted interventions.