Track deformable objects from point clouds with structure preserved registration

Manipulating deformable objects is a challenging task for robots. The major difficulty lies in how to track these objects accurately, robustly, and efficiently, considering they have infinite-dimensional configuration space. To deal with these problems, this paper proposes a novel state estimator to...

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Veröffentlicht in:The International journal of robotics research 2022-05, Vol.41 (6), p.599-614
Hauptverfasser: Tang, Te, Tomizuka, Masayoshi
Format: Artikel
Sprache:eng
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