Flow-Support-Weighted Proposals for Test-Time Verified VLA Policies
cs.RO, cs.CV
Submitted: 2026-10-10
Updated: 2026-10-10
Sources
- EVE: A Generator-Verifier System for Generative Policies
- EVOLVE-VLA: Test-Time Training from Environment Feedback for Vision-Language-Action Models
- MAGMA-GEN: Validated Recovery Supervision from Ambiguous Failures via Counterfactual Re-Execution
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
- RoVer: Robot Reward Model as Test-Time Verifier for Vision-Language-Action Model
- Sample, Don't Search: Rethinking Test-Time Alignment for Language Models
- LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
- Verifier-free Test-Time Sampling for Vision-Language-Action Models
- LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models
- RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models
- Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment
- Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought Supervision
- Evaluating Real-World Robot Manipulation Policies in Simulation
- HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model
- RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- Unleashing More Actions via Action Compositional Training for VLA Models
- StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
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- ARC: A Reasoning Recipe for Robot Foundation Models
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies