Bring the Apple, Not the Sofa: Impact of Irrelevant Context in Embodied AI Commands on VLA Models (2026.eacl-srw)
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Andrey Moskalenko, Daria Pugacheva, Denis Shepelev, Andrey Kuznetsov, Vlad Shakhuro, Elena Tutubalina
| Challenge: | Embodied AI is undergoing rapid development, with robots increasingly exhibiting practical utility in everyday environments. |
| Approach: | They evaluate the robustness of vision language action models under linguistic perturbations . they categorize irrelevant contexts into two groups according to their length and proximity to robot commands . |
| Outcome: | The proposed model can exhibit relative robustness to random context, with a performance drop within 10%, the authors show . human paraphrases of instructions lead to a drop of nearly 20%, the study shows . |
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