Robbyant Releases LingBot-VLA 2.0: Open-Source 6B Vision-Language-Action Model for Robot Manipulation

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Robbyant has open-sourced LingBot-VLA 2.0, a 6-billion parameter Vision-Language-Action model designed for cross-embodiment robot manipulation tasks. VLA models that generalize across different robot hardware configurations are a hard open problem, and a 6B open-source release with cross-embodiment support is a meaningful contribution to the robotics AI ecosystem. For developers working on robotics, embodied AI, or physical AI applications, this is a directly usable foundation model that doesn't require starting from scratch. The open-source nature means it can be fine-tuned for specific robot platforms or manipulation tasks without dependency on a closed API. Teams building manipulation pipelines should evaluate LingBot-VLA 2.0 against existing options like OpenVLA and assess its cross-embodiment generalization on their target hardware.