2 papers
cs.RO2026
TrapVLA: Trapping Vision-Language-Action Models in Configured Failure Modes
Jun-Hui Liu, Kun-Yu Lin, Yi-Lin Wei +9
This work introduces Configured Failure Trapping, a novel backdoor attack task against Vision-Language-Action (VLA) models, which aims to activate attacks through stealthy textual…
cs.RO2026
ReViP: Mitigating False Completion in Vision-Language-Action Models with Vision-Proprioception Rebalance
Zhuohao Li, Yinghao Li, Jian-Jian Jiang +6
Vision-Language-Action (VLA) models have advanced robotic manipulation by combining vision, language, and proprioception to predict actions. However, previous methods fuse proprioc…