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Zhang Ye

2 papers indexed

arxivcs.ROcs.CV2026-07-23

Scale Up Strategically: Learning Compositional Generalization via Bias-Aware Evaluation and Data Collection for Robotic Manipulation

Yu Qi, Zhang Ye, Xinyi Xu, Yuxuan Lu, Amitoj Sandhu, Boce Hu, et al.

Compositional generalization is essential for robot to follow diverse instructions. However, pretrained policies are known to take shortcuts, deferring to salient cues rather than grounding language. We introduce a diagnostic framework that localizes this failure to individual \t…

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arxivcs.ROcs.AIcs.CVcs.LG2026-07-12

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification

Haojie Huang, Zhang Ye, Linfeng Zhao, Boce Hu, Mingxi Jia, Yu Qi, et al.

The action space poses a major challenge in robot learning, since it is often high-dimensional, can span long time horizons, and frequently admits multi-modal optimal solutions. A good choice of action representation and loss function can help to address these concerns, but there…

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