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Gaussian Mixture Models for Affordance Learning using ...
arXiv
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由 P Osório 著作2024被引用 16 次 — This paper approaches the problem of an embodied agent exploring the world and learning these affordances autonomously from its sensory experiences.
Gaussian Mixture Models for Affordance Learning Using ...
Universidad de Zaragoza
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Abstract—Affordances are fundamental descriptors of rela- tionships between actions, objects and effects. They provide the means whereby a robot can predict ...
Gaussian Mixture Models for Affordance Learning using ...
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2024年10月22日 — The model employs a Bayesian Network (BN) to encode the probabilistic relations between a set of random variables describing three main ...
[PDF] Gaussian mixture models for affordance learning ...
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This paper considers a probabilistic representation of the sensors by Gaussian Mixture Models and explicitly taking into account the probability distribution.
Gaussian Mixture Models for Affordance Learning using ...
DBLP
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2024年2月16日 — Bibliographic details on Gaussian Mixture Models for Affordance Learning using Bayesian Networks.
Gaussian mixture models for affordance learning using Bayesian ...
Universidade de Lisboa
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Universidade de Lisboa
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Page with all metadata related to the publication "Gaussian mixture models for affordance learning using Bayesian Networks"
Gaussian Mixture Models for Affordance Learning using Bayesian ...
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Affordances are fundamental descriptors of relationships between actions, objects and effects. They provide the means whereby a robot can predict effects, ...
Gaussian Mixture Models for Affordance Learning using Bayesian ...
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Gaussian Mixture Models for Affordance Learning using Bayesian Networks · Proc. of IROS 2010 - IEEE/RSJ International Conference on Intelligent Robots and ...
Ruben Martinez-Cantin
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Gaussian mixture models for affordance learning using bayesian networks. P Osório, A Bernardino, R Martinez-Cantin, J Santos-Victor. 2010 IEEE/RSJ ...
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Gaussian Mixture Models for Affordance Learning using ...
Institute For Systems and Robotics
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Gaussian Mixture Models for Affordance Learning using Bayesian Networks · Proc. of IROS 2010 - IEEE/RSJ International Conference on Intelligent Robots and ...
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