NeuroVLA: A Brain-inspired Embodied Intelligence for Fluid and Fast Reflexive Robotics Control
cs.RO, cs.AI
Submitted: 2026-01-21
Updated: 2026-10-13
Code: https://github.com/guoweiyu/NeuroVLA
Sources
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- WorldVLA: Towards Autoregressive Action World Model
- Unified Vision-Language-Action Model
- Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
- LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
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