LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies
cs.AI, cs.LG
Submitted: 2026-09-05
Updated: 2026-10-10
Comments: 15 pages, 7 figures, 16 tables, including appendix
Code: https://github.com/PhysicalIntelligence/openpi
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Qwen3-VL Technical Report
- Eliciting Latent Predictions from Transformers with the Tuned Lens
- PaliGemma: A versatile 3B VLM for transfer
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- RT-1: Robotics Transformer for Real-World Control at Scale
- StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
- Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
- MiMo-Embodied: X-Embodied Foundation Model Technical Report
- Deep Networks with Stochastic Depth
- OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- OpenVLA: An Open-Source Vision-Language-Action Model
- HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy
- Evaluating Real-World Robot Manipulation Policies in Simulation
- Planning Takes More Than Token Prediction: Causal Plan for Benchmarking and Building Physically Grounded Embodied Reasoners
- RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
- SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model
- Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
- MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation
- Attention Residuals
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