Learning Grasp Affordance Densities
We address the issue of learning and representing object grasp affordance models. We model grasp affordances with continuous probability density functions (grasp densities) which link object-relative grasp poses to their success probability. The underlying function representation is nonparametric an...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2011-03-01
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Series: | Paladyn: Journal of Behavioral Robotics |
Subjects: | |
Online Access: | https://doi.org/10.2478/s13230-011-0012-x |