Vision-Language-Action Models for Robotics

2 repos

Vision-language-action (VLA) models that enable robots to understand and execute tasks by combining visual perception with language instructions. This cluster centers on OpenVLA and related fine-tuned variants trained on robotic manipulation datasets like LIBERO, demonstrating how large multimodal models can be adapted for real-world robot control and task learning across different behavioral categories and spatial reasoning requirements.

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