Frame-Level Temporal Alignment for Human-to-Robot Visual Adaptation
cs.RO, cs.LG
Submitted: 2026-10-03
Updated: 2026-10-03
Comments: 24 pages, 10 figures, 12 tables
Project page: https://rtx5090ultra.github.io/FLTA-Project-Page
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
- World Models for Learning Dexterous Hand-Object Interactions from Human Videos
- Structured World Models from Human Videos
- Representation Learning with Contrastive Predictive Coding
- Tent: Fully Test-time Adaptation by Entropy Minimization
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
- HARP-VLA: Human-Robot Aligned Representation Learning for Vision-Language-Action Model
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