Ling-Wei Kong

FASA: Feedback-Aware Sampling Adaptation for Efficient Diffusion-Based VLA Models

Diffusion-based Vision-Language-Action (VLA) models achieve strong performance in embodied tasks, but their iterative sampling imposes heavy computational and memory-access cost, blocking real-time deployment on edge platforms. Existing acceleration methods either require expensive training (e.g., distillation, flow ma...