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Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification
Legged robots are popular candidates for missions in challenging terrain...
11/24/2020 ∙ by Ahmadreza Ahmadi, et al. ∙
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Towards hybrid primary intersubjectivity: a neural robotics library for human science
Human-robot interaction is becoming an interesting area of research in c...
06/29/2020 ∙ by Hendry F. Chame, et al. ∙
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Learning to Embed Probabilistic Structures Between Deterministic Chaos and Random Process in a Variational Bayes Predictive-Coding RNN
This study introduces a stochastic predictive-coding RNN model that can ...
11/04/2018 ∙ by Ahmadreza Ahmadi, et al. ∙
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Bridging the Gap between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model
The current paper proposes a novel variational Bayes predictive coding R...
06/30/2017 ∙ by Ahmadreza Ahmadi, et al. ∙
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Predictive Coding-based Deep Dynamic Neural Network for Visuomotor Learning
This study presents a dynamic neural network model based on the predicti...
06/08/2017 ∙ by Jungsik Hwang, et al. ∙
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