Looking Back to Move Forward: Temporal Verification for Generative Robot Policies
cs.RO
Submitted: 2026-09-30
Updated: 2026-09-30
Terminology
Sources
- EVE: A Generator-Verifier System for Generative Policies
- Real-Time Execution of Action Chunking Flow Policies
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- Predictive Preference Learning from Human Interventions
- Decision Transformer: Reinforcement Learning via Sequence Modeling
- RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
- InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
- Diffusion Models Beat GANs on Image Synthesis
- DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance
- LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
- Learning Latent Dynamics for Planning from Pixels
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- How Fast Can I Run My VLA? Demystifying VLA Inference Performance with VLA-Perf
- Contrastive Representation Regularization for Vision-Language-Action 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
- Learn from What We HAVE: History-Aware VErifier that Reasons about Past Interactions Online
- Flow Matching for Generative Modeling
- Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
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