Getting robots back on track by reconstituting control in unexpected situations with online learning

Getting robots back on track by reconstituting control in unexpected situations with online learning

Robots struggle to operate when unexpected disturbances arise. The authors introduce a fast learning method that restores control in real time, reducing the impact of perturbations and improving resilience across diverse conditions.

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