Exploiting Vulnerabilities: Universal Adversarial Attacks on Vision-Language-Action Models in Robotics
A textured adversarial sphere cuts Pi0 and RDT robot task success by 31.2% to 39.9% in view.
Researchers introduce a Universal Adversarial Object, a sphere with an optimized surface texture, that degrades Vision-Language-Action robot policies when placed in view. A multi-level attack jointly disrupts trajectory planning, task execution, and action control. On Pi0 and RDT, average task success falls by 31.2% to 39.9% in simulation and real robots, and near zero in complex tasks.
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