Author

Z. Kira

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#artificial intelligence May 2026

Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring

This paper proposes Hide-and-Seek, a framework that formulates VLA failure detection as a coarsely supervised learning problem that achieves state-of-the-art multi-task failure detection performance with a practical accuracy--timeliness trade-off under conformal prediction, and generalizes well to both seen and unseen...

S. Park, Wendi Li, Changdae Oh et al. · arXiv.org · 8 citations

Preprint Sep 2026

Opt2VLA: Force-Aware Vision-Language-Action for Contact-Rich Humanoid Whole-Body Manipulation

Humanoid robots are expected to perform diverse human-level tasks in daily environments, many of which require precise regulation of interaction forces. While recent vision-language-action (VLA) models have shown promise for semantic planning and visuomotor control, existing humanoid systems primarily represent actions...

Fu-Kang Liu, Yipu Chen, Jaehwi Jang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Lies We Can See: Joint Verbal and Non-Verbal Deception by VLM Agents in Embodied Social Interactions

MineAmongUs is introduced, a 3D multimodal Among Us sandbox where imposter agents must deceive crewmates through joint verbal and non-verbal action, and ARIA is proposed, a configurable VLM-agent harness that exposes five cognitive-component ablation axes and opens a new path for embodied VLM-agent alignment research.

Jaewoo Ahn, Junseo Kim, Hyunseo Kim et al. · 0 citations