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SpaceMind's self-evolving skills let robots learn from failure *without* model fine-tuning, turning on-orbit servicing into a continuous improvement loop.
Training on more diverse synthetic spacecraft data dramatically improves generalization to novel satellite designs, but current methods still struggle to identify small, critical components like thrusters.
