Guide, Think, Act: Interactive Embodied Reasoning in Vision-Language-Action Models
GTA-VLA is a Vision-Language-Action framework that allows users to guide robot policies using explicit visual cues like points or boxes. It works by having a 'Guide' phase where spatial priors condition the model's reasoning, followed by a 'Think' phase for structured planning, and an 'Act' phase for fast control. This interactive guidance improves robustness and failure recovery in complex environments.