RotVLA: Rotational Latent Action for Vision-Language-Action Model
cs.RO, cs.CV
Submitted: 2026-05-13
Updated: 2026-09-24
Code: https://github.com/clvrai/clvr_
Project page: https://qiweili00.github.io/rotvla-page
Terminology
Sources
- A Survey on Vision-Language-Action Models for Embodied AI
- Vision-Language-Action (VLA) Models: Concepts, Progress, Applications and Challenges
- Qwen2.5-VL Technical Report
- Latent Action Pretraining from Videos
- UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
- AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
- CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
- RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
- What Matters in Building Vision-Language-Action Models for Generalist Robots
- OpenVLA: An Open-Source Vision-Language-Action Model
- BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models
- FAST: Efficient Action Tokenization for Vision-Language-Action Models
- VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- $\pi^{*}_{0.6}$: a VLA That Learns From Experience
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- Evo-1: Lightweight Vision-Language-Action Model with Preserved Semantic Alignment
- RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
- H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation
- X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model
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