See like a Robot: Robot-Centric Pointmaps for Vision-Language-Action Models
This paper proposes a way to improve vision-language-action models so they can better understand the world from a robot's perspective, which is important for robots to make accurate decisions. By using robot-centric pointmaps, these models can generalize better across different camera setups and viewpoints.