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SparkVLA redefines task execution in hierarchical VLA systems, achieving over 30% improvement in success rates by integrating stop and action length decisions into a single ranking process.
Tactile feedback can enhance VLA models without compromising their pretrained knowledge, leading to a 30.6 percentage-point improvement in manipulation tasks.
GeoHAT achieves a remarkable 79.3% success rate in mobile manipulation, outperforming existing methods by a staggering 23.7% through innovative geometric token integration.
