نسخة أولية وصول مفتوح
When to Switch: Reliable Action-Chunk Extension for Vision-Language-Action Models
Vision-Language-Action (VLA) models serve as unified policies for robotic manipulation, yet their expensive inference forces robots to pause between policy calls, resulting in stop-and-go execution that interrupts smooth motion and prolongs task completion. Extending the action chunk reduces policy calls and hence thes …