Abstract: Deformable linear objects (DLOs), such as cables, wires, ropes, and elastic tubes, are numerously present both in domestic and industrial environments. Unfortunately, robotic systems ...
Abstract: Deep networks notoriously suffer from performance deterioration on previous tasks when learning from sequential tasks, i.e., catastrophic forgetting. Recent methods of gradient projection ...
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