4 citations · 6 across the 6 of their papers we have counts for
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V2-STRep: VLM-Grounded Structured Task Representations for Reusable Robot Skills Acquired from Generated Videos
Yexin Hu, Dongheui Lee
Human manipulation videos provide rich motion and interaction cues for acquiring robot skills without robot demonstrations. Video generation models synthesize such demonstrations f…
Learning Forward & Reverse Skills from a Single Unfinished Demonstration for Constrained Manipulation Tasks
Yexin Hu, Haoyi Zheng, Johannes Heidersberger +1
Learning from demonstration (LfD) enables robots to learn manipulation skills directly from expert demonstrations but remains challenging for contact-rich tasks involving geometric…
Monocular Vision Based Control Framework for Grasping
Shail Jadav, Dongheui Lee
Grasping in unstructured environments requires handling objects with widely different mechanical properties, from soft and deformable items to rigid everyday objects. Most existing…
LOPAL: Local Performance-Aware Active Learning from Imperfect Demonstrations
Johannes Heidersberger, Shail Jadav, Dongheui Lee
Learning from Demonstration (LfD) enables intuitive robot skill acquisition by allowing robots to learn directly from human task demonstrations. However, current methods often fail…