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[](https://x2robot.cn-wlcb.ufileos.com/wall_oss.pdf)
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[ embodiment-aware vision--language understanding, (2) strong language--action association, and (3) robust manipulation capability.
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Our approach employs a tightly coupled architecture and multi-strategies training curriculum that enables Unified Cross-Level CoT—seamlessly unifying instruction reasoning, subgoal decomposition, and fine-grained action synthesis within a single differentiable framework.
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[](https://x2robot.cn-wlcb.ufileos.com/wall_oss.pdf)
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[](https://huggingface.co/x-square-robot)
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[](https://github.com/X-Square-Robot/wall-x)
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[](https://x2robot.com/en/research/68bc2cde8497d7f238dde690)
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## <a href="https://x2robot.cn-wlcb.ufileos.com/wall_oss.pdf" target="_blank"><strong>WALL-OSS: Igniting VLMs toward the Embodied Space</strong></a>
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We introduce **WALL-OSS**, an end-to-end embodied foundation model that leverages large-scale multimodal pretraining to achieve (1) embodiment-aware vision--language understanding, (2) strong language--action association, and (3) robust manipulation capability.
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Our approach employs a tightly coupled architecture and multi-strategies training curriculum that enables Unified Cross-Level CoT—seamlessly unifying instruction reasoning, subgoal decomposition, and fine-grained action synthesis within a single differentiable framework.
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