Skip to content
arXiv Robotics — research abstracts· Chenghao Yue, Peiyan Li, Hao Wang, Lei Lv, Jiahao Chen, Huaping Liu, Yu Luo, Yuanlong Zhang·· 5 days agoEditorial score65

PRISM: Precision Forcing for Generalist Vision-Language-Action Policies

PRISM: Precision Forcing for Generalist Vision-Language-Action Policies

Summary

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

Timezone · UTC

Article dates follow your selected timezone. Briefing editions use Hong Kong time (UTC+8).