Abstract: Conventional Low-Rank Adaptation (LoRA) methods employ a fixed rank, imposing uniform adaptation across transformer layers and attention heads despite their heterogeneous learning dynamics.
Abstract: The increased flexibility and introduced coupling between links and cylinders pose challenges for modeling flexible hydraulic manipulators (FHMs). The traditional assumed mode method (AMM) ...
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