SWAP: Stepwise Action Policy Routing for Vision-Language-Action Models
cs.RO
Submitted: 2026-10-03
Updated: 2026-10-03
Comments: 9 pages , 4 figures,Under review for ICRA 2027
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
- Dynamic Model Routing and Cascading for Efficient LLM Inference: A Survey
- AutoMix: Automatically Mixing Language Models
- AWAC: Accelerating Online Reinforcement Learning with Offline Datasets
- Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
- RoboReward: General-Purpose Vision-Language Reward Models for Robotics
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