A continual learning framework with spatial replay and dual distillation enables hand-eye calibration models to retain accuracy on past scenes while adapting to new open-world robotic manipulation scenes.
Helpful or harmful: Inter-task association in continual learning,
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Continual Hand-Eye Calibration for Open-world Robotic Manipulation
A continual learning framework with spatial replay and dual distillation enables hand-eye calibration models to retain accuracy on past scenes while adapting to new open-world robotic manipulation scenes.