PRISM: Precision Forcing for Generalist Vision-Language-Action Policies
PRISM: Precision Forcing for Generalist Vision-Language-Action Policies
This research introduces PRISM, a method that improves precision in vision-language-action (VLA) policies by addressing Flow-Time Starvation, a problem where training objectives fail to allocate sufficient supervision to critical moments. PRISM enhances task success rates in precise manipulation tasks like cable insertion and screw tightening without new sensors, achieving up to 86.7% end-to-end success in simulation and real-world experiments.
Source: arXiv Robotics — research abstracts · Read original article ↗
Loading article text…
Source:arXiv Robotics — research abstracts · arxiv.org