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Kang-Kang Dong

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Preprint Aug 2026

Rethinking Demonstration Unlearning in Imitation Learning for Robotics

Imitation learning for robotics depends on human demonstrations, some of which people may later ask to remove. Retraining without them is the natural reference, but its cost grows with policy and dataset scale, motivating cheaper operators that edit a trained policy. Metrics inherited from machine unlearning, such as f...

Jia-Zhuo Li, Yu Zhang, Yi-Ming Fei et al. · 1 citation
Preprint Sep 2026

DeViGrasp: Robust Visual Mobile Grasping for Quadruped Manipulators under Degraded Perception

Quadruped manipulators enable mobile grasping in complex environments, yet their whole-body control policies remain vulnerable to unreliable onboard visual perception. Existing methods are typically developed under relatively reliable observations and have not systematically examined how occlusion, segmentation-mask dr...

Liang Zhou, Jia-Ming Su, Yang Wei et al. · 0 citations

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