Tangled: Learning to untangle ropes with RGB-D perception

In this paper, we address the problem of manipulating deformable objects such as ropes. Starting with an RGB-D view of a tangled rope, our goal is to infer its knot structure and then choose appropriate manipulation actions that result in the rope getting untangled. We design appropriate features an...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Wen Hao Lui, Saxena, Ashutosh
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Algorithm design and analysis Image segmentation Inference algorithms Labeling Robot sensing systems
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