Vision-Language Models Vision-Language-Action Models Reinforcement Learning Vision-Language-Action Imitation Learning Data Processing Inference Methods Policy Learning Deep Learning Action Models Inference Optimization Artificial Intelligence Language Models Design Methods Shared Learning Paradigm Failure Analysis Classification Algorithms Continual Learning Asynchronous Execution Supervised Learning Visual Recognition Evaluation Metrics Task Specialization Policy Generation Simulation Task Performance Streaming Frameworks Vision Language Models Model Training Confidence Estimation Adversarial Attacks Perception Collaborative Systems Computer Vision Trajectory Prediction Tactile Sensing Neural Networks Deep Reinforcement Learning Generalization Behavioral Analysis Model Optimization Complex Task Performance Data Utilization Natural Language Processing Feedback Mechanisms Model Evaluation Policy Inference Robot Models Efficiency
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A cluster of July preprints retools model inputs, action interfaces, evaluation methods, runtimes to make pretrained vision‑language backbones reliable for real‑robot control.
