CoRE-VLA: Towards Scalable and Robust Vision-Language-Action Modeling via Conditional Routing of Experts
cs.RO
Submitted: 2026-07-04
Updated: 2026-10-09
Code: https://github.com/NVIDIA/Isaac-GR00T
Terminology
Sources
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- RT-1: Robotics Transformer for Real-World Control at Scale
- Octo: An Open-Source Generalist Robot Policy
- Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
- GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
- Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
- RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
- Qwen3-VL Technical Report
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- FAST: Efficient Action Tokenization for Vision-Language-Action Models
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