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LingBot-VLA 2.0 Released: Embodied AI Model Trained on 60K Hours for Real-World DeploymentLingBot-VLA 2.0发布：6万小时数据训练的具身AI模型升级
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R7-research
- LingBot-VLA 2.0 advances the Vision-Language-Action model to improve performance in real-world applications beyond laboratory conditions.
- The model was trained on approximately 60,000 hours of data with a revamped processing pipeline and enhances generalization across tasks and different embodiments.
- The work focuses on bridging the gap between foundation models and practical implementation for embodied robotic systems.
- LingBot-VLA 2.0是对前一代模型的改进，旨在提升视觉-语言-动作模型在实际应用中的表现，超越实验室条件的限制。
- 该模型使用约6万小时的数据进行预训练（包括5万+小时），采用改进的数据处理管道，增强了跨任务和不同机体的泛化能力。
- 这项工作致力于缩小基础模型与实际部署之间的差距，推进具身化人工智能系统的实际应用。