Model-Driven Feedforward Prediction for Manipulation of Deformable Objects

IEEE Transactions on Automation Science and Engineering, pp. 1621-1638, 2018.

Cited by: 11|Bibtex|Views67|DOI:https://doi.org/10.1109/TASE.2017.2766228
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Other Links: academic.microsoft.com

Abstract:

Robotic manipulation of deformable objects is a difficult problem especially because of the complexity of the many different ways an object can deform. Searching such a high-dimensional state space makes it difficult to recognize, track, and manipulate deformable objects. In this paper, we introduce a predictive, model-driven approach to ...More

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