Scope<br>The integration of networks and robotic technologies has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. It is foreseeable that big networks will be the main approach to the next generation of robotic research. The explosive number of networks models and increasing computational power of computers has significantly extended the number of potential applications for robotic technologies. It has also brought new challenges to the network’s community. The aim of this symposium is to provide a platform for researchers to share up–to–date scientific achievements in this field.<br>Topics<br>Topics of interest include, but are not limited to, the following scope:<br>•Human Brain Mapping Approaches<br>•Computational Modelling (CNN, RNN, ANN etc)<br>•Sensory Perception Methods<br>•Soft Computing Models<br>•Cognitive–level Algorithms<br>•Brain–inspired Systems<br>•Swarm–based Algorithms<br>•Cognitive Mixed Reality<br>•Human–Inspired Robotics<br>•Brain–Computer/Robot Interface<br>•Neuroscience and Behavior Analysis<br>•Electro–Encephalography (EEG) Analysis<br>•Transcranial Magnetic Stimulation<br>•Bayesian Program Learning<br>
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ROSENET
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Kitakyushu
Country
Japan
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