We present ReconVLA, an implicit grounding paradigm for Vision-Language-Action models that reconstructs gaze regions to focus visual attention, achieving precise manipulation and strong generalization ...
Abstract: This paper proposes a cargo volume forecasting method based on the ARIMA-LSTM hybrid model, aiming to improve the accuracy and reliability of predictions. We collected historical data from ...
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