YUBI-STAG: Contact and Semantic-Rich Alignment for VLAs via Automated Video-Language Grounding
cs.RO, cs.CV
Submitted: 2026-10-07
Updated: 2026-10-07
Comments: Project page: https://yubi-stag.airoa.io/
Project page: https://yubi-stag.airoa.io
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- SPARC: Reliable Spatial Annotations from Robot Demonstrations at Scale
- Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets
- FineVLA: Fine-Grained Instruction Alignment for Steerable Vision-Language-Action Policies
- MolmoAct: Action Reasoning Models that can Reason in Space
- HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation
- Revisiting the Superficial Alignment Hypothesis
- STEER: Flexible Robotic Manipulation via Dense Language Grounding
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