Fast-ThinkAct is a framework designed to enhance reasoning in vision-language-action tasks by compressing lengthy textual reasoning into concise latent representations. It improves inference speed by up to 9.3 times while maintaining strong performance in tasks that require both visual understanding and action execution. The approach includes a teacher-student model where the student learns efficient reasoning from the teacher's guidance.