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Notes on vision-language-action (vla) models
4 notes
WCog-VLA: A Dual-Level World-Cognitive Vision-Language-Action Model for End-to-End Autonomous Driving
Researchers propose WCog-VLA, a dual-level model for autonomous driving, which combines semantic world forecasting and generative world evolution to bridge the gap between reactive and proactive driving. The semantic…
Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation
Researchers introduce Cortex, a framework for long-horizon manipulation tasks that addresses the limitations of current Vision-Language-Action (VLA) models by creating executable and tractable subtask plans from…
Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation
Researchers introduce Cortex, an embodied agent framework designed to handle long-horizon manipulation tasks. The framework addresses the limitations of existing Vision-Language-Action (VLA) models by providing a…
Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs
Researchers propose a new framework called Task-Agnostic Pretraining (TAP) for Vision-Language-Action (VLA) models. The TAP aims to address the scarcity of expert demonstrations by separating two learning objectives…
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