Abstract: Contemporary deep learning approaches for optical flow estimation continue to face persistent challenges in model interpretability, generalization capacity, and deployment efficiency, ...
Abstract: This paper addresses tightly constrained heterogeneous multi-agent task allocation (H-MATA) in physical-space missions, where agents must form role-complete coalitions and execute tasks ...
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