Encoded but Not in Control: Revealing the Grounding Gap in Vision-Language Robot Policies
cs.RO, cs.LG
Submitted: 2026-10-05
Updated: 2026-10-05
Comments: 30 pages, 7 figures
Code: https://github.com/anonymous-report-421/eval-of-gpt-6-astra-as-policy
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition
- RynnVLA-002: A Unified Vision-Language-Action and World Model
- WorldVLA: Towards Autoregressive Action World Model
- GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation
- GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks
- RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
- In-Context Robot Learning with VLM Agents
- When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs
- LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
- Vidar: Embodied Video Diffusion Model for Generalist Manipulation
- Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation
- Addressing the Orchestration Gap in Generalist Robots via Physical Agency
- DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
- Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
- Not All Features Are Created Equal: A Mechanistic Study of Vision-Language-Action Models
- Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models
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