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English(EN) CarryOn: A Dual-Loop Harness for Personalized and Reliable Robot Assistance

CarryOn系统增强VLA模型，实现个性化、可靠的机器人辅助

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了CarryOn，一个双环系统，旨在增强现有视觉-语言-动作（VLA）模型在机器人辅助方面的能力。CarryOn通过引入一个用于持续用户和场景上下文的规划环路，以及一个用于安全监督和恢复技能的执行环路，来解决个性化和可靠性方面的局限性。评估表明，违规率显著降低，任务成功率和恢复能力大幅提高。 AI

影响 通过提高VLA模型的个性化和可靠性来增强机器人辅助。

排序理由 该集群包含一篇详细介绍机器人辅助新系统的研究论文。

在 arXiv cs.CV 阅读 →

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CarryOn系统增强VLA模型，实现个性化、可靠的机器人辅助

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报道来源 [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    CarryOn：一种用于个性化和可靠机器人辅助的双环线束

    CarryOn enhances frozen vision-language-action policies with persistent personalized planning and supervised execution with recovery skills to improve safety and adaptability.

  2. arXiv cs.CV TIER_1 English(EN) · Zixuan Wang, Yuqi Liu, Yuxin Chen, Sengqiao Yang, Jinhui Ye, Pengguang Chen, Changsheng Lu, Shu Liu, Bei Yu, Jiaya Jia ·

    CarryOn：一种用于个性化和可靠机器人辅助的双环线束

    arXiv:2610.21453v1 Announce Type: cross Abstract: While generalist vision-language-action (VLA) models have enabled diverse open-world manipulation, real-world robotic assistance requires two critical capabilities they currently lack: personalization and reliable execution. First…

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