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The results suggest that dense to MoE adaptation with dynamic expert deactivation is a practical direction for reducing active VLA model size without severe performance loss.
Fatigue can transform character animation, leading to more natural and robust movements in physics simulations.
Achieving over 2x speedup in VLA inference without sacrificing performance could revolutionize real-time robotic applications.
