CAPEX, an experience-conditioned demonstration collection framework that uses execution experience from previous attempts to adapt how frequently the foundation model must observe, reason, and replan, is introduced and suggests that foundation models can serve as scalable sources of reusable robot experience.
Shivam Aarya, Xi-Jia Zhang, Cheng-Yue Huang et al.· 0 citations
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
Opt2VLA is presented, a force-aware VLA framework that introduces explicit force commands at the VLA-to-control interface for humanoid whole-body manipulation and shows that explicit force conditioning enables more accurate and consistent force regulation than motion-only control, while physically grounded torque super...
Fu-Kang Liu, Yipu Chen, Jaehwi Jang et al.· 1 citation
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
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