Unsupervised skill mining with self-supervised compactness, alignment, and disentanglement losses yields a fixed skill library that improves multi-task and few-shot robotic manipulation when plugged into ACT and OpenVLA-OFT.
Compose by focus: Scene graph-based atomic skills,
2 Pith papers cite this work. Polarity classification is still indexing.
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A survey that formalizes 3D Scene Graphs under a common definition, analyzes modeling choices, reviews construction from sensory data, examines applications and evaluations, and highlights open challenges with a supporting website.
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SkillPlug: Unsupervised Skill Mining for Few-Shot Adaptation in Robotic Manipulation
Unsupervised skill mining with self-supervised compactness, alignment, and disentanglement losses yields a fixed skill library that improves multi-task and few-shot robotic manipulation when plugged into ACT and OpenVLA-OFT.
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3D Scene Graphs: Open Challenges and Future Directions
A survey that formalizes 3D Scene Graphs under a common definition, analyzes modeling choices, reviews construction from sensory data, examines applications and evaluations, and highlights open challenges with a supporting website.