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Achieving over 97% success in long-horizon robot manipulation, TemporalFlow-VLA reveals the critical role of execution history in action prediction.
V-Link bridges the gap between visual perception and action control, boosting robotic manipulation success rates by up to 31.2% through enhanced feature integration.
MVUCF achieves a remarkable 98.9% on LIBERO, showcasing a 22.4-point improvement on LIBERO-Plus and a 23.3-point increase in task success rates, all without additional inference costs.
