Author

Lin-Bo Wang

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Preprint Sep 2026

GIFT: Guided Intermediate Feature Training via Action-Oriented Structural Supervision for Robotic Manipulation

GIFT (Guided Intermediate Feature Training), an architecture-flexible framework for learning intermediate features that translates these structures into training-time constraints through geometry alignment, affordance prediction, and goal-region reconstruction, establishes learning functionally structured intermediate...

Yu-Peng Zheng, Xiang Li, Song-En Gu et al. · 2 citations

Jul 2026

WALA Learning Executable Latent Actions from Action-Labeled Demonstrations and Action-Free Videos

WALA, a framework for learning executable latent actions from both action-labeled demonstrations and action-free videos, achieves strong performance on RoboTwin, sets a new state-of-the-art result on RoboCasa, and improves both policy performance and generalization in real-world manipulation tasks.

Jia-Hao Liu, Zhongpu Xia, Shuai Tian et al. · arXiv.org · 1 citation

Preprint Aug 2026

DriveVLA-M0: Failure-Aware Memory Augmentation for Autonomous Driving

A latent memory pool is constructed that stores failure cases along with their structure scene representations and expert trajectory labels, and a dedicated Retrieve Model that decouples static road structure and dynamic agent interactions to enable structurally grounded retrieval is designed.

Zebin Xing, Yu-Peng Zheng, Qiang-Yu Chen et al. · 0 citations