Combining Self-Organizing and Graph Neural Networks for Modeling Deformable Objects in Robotic Manipulation
Modeling deformable objects is an important preliminary step for performing robotic manipulation tasks with more autonomy and dexterity. Currently, generalization capabilities in unstructured environments using analytical approaches are limited, mainly due to the lack of adaptation to changes in the...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-12-01
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Series: | Frontiers in Robotics and AI |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frobt.2020.600584/full |