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PDRVLA is introduced, whose lightweight Physical Dynamics Module extracts physical tokens from vision--language features to condition action generation without online video generation, andlations show improved future prediction with world-model supervision and evaluate how subtask conditioning, future object-pose super...
WorkDrive is proposed, a framework that constructs perception-grounded causal reasoning for work zones and aligns it with trajectory prediction and achieves progressive improvement over the trajectory-only baseline.
StreamFlow is introduced, an efficient visual memory framework that enables dynamic, on-demand access to historical visual information and improves the visual attention score while reducing end-to-end latency and peak memory, enabling more visually grounded and efficient reasoning.
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