RACE Framework Reduces Robotic Pauses in VLA Models

Vision-Language-Action (VLA) models suffer from stop-and-go execution due to expensive inference. The Reliable Action-Chunk Extension (RACE) method addresses unreliability at subskill transitions, allowing for longer action chunks and smoother robotic motion.