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arXiv Robotics — research abstracts· Hengyan Liu, Wenlve Zhou, Bo Yue, Yongyi Su, Ruixiang Wang, Zhanqi Zhang, Dekun Lu, Wei Gao, Xiaofen Xing, Kui Jia·· 15 hours agoEditorial score62

TaskAnchor: Grounding Task State in Reactive VLAs for Long-Horizon Manipulation

TaskAnchor: Grounding Task State in Reactive VLAs for Long-Horizon Manipulation

Summary

This research introduces TaskAnchor, a lightweight adapter that improves reactive vision-language-action (VLA) policies for long-horizon manipulation by grounding task state through execution context injection. TaskAnchor achieves substantial performance gains over existing baselines in benchmarks and real-robot experiments, demonstrating reliable multi-stage execution with in-context cues from earlier human interactions.

Source: arXiv Robotics — research abstracts · Read original article ↗

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Source:arXiv Robotics — research abstracts · arxiv.org

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