Awesome Robotics Manipulation · full_paper

Actron3D: Learning Actionable Neural Functions from Videos for Transferable Robotic Manipulation

作者：Anran Zhang, Hanzhi Chen, Yannick Burkhardt, Yao Zhong, Johannes Betz, Helen Oleynikova, Stefan Leutenegger Equal Contribution · 单位：ETH Zurich, Technical University of Munich · 会议/期刊：ICRA 2026 · 日期：2025-10-14 · 来源：Low-Level Learning-Based Action Modelling / Learning Strategy / Vision-Grounded Goal Extraction / Visual Trace

三维表征视频规划感知机器人学习操作
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Actron3D: Learning Actionable Neural Functions from Videos for Transferable Robotic Manipulation figure
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