Computational Intelligence and Neuroscience

Computational Intelligence and Neuroscience in Neurorobotics


Publishing date
01 Mar 2019
Status
Published
Submission deadline
12 Oct 2018

1King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand

2University of Electro-Communication, Tokyo, Japan

3University of West of England, Bristol, UK


Computational Intelligence and Neuroscience in Neurorobotics

Description

Computational intelligence and neuroscience play an important role in robotics applications to improve the robot’s capacities not only in increasing productivity in manufacturing but also in intelligence development so that robots can substitute human’s thinking and planning capacity. Recently, neuroscience has been applied to robots to generate intelligence models with biological nervous systems. The intersection between robotics and neuroscience highlights many promising approaches and applications, for example, the neurorobots, brain-inspired algorithms and devices in robotics, and neural network based navigation. This leads to one of the most significant paradigm shifts and improvements in the robotics field. The principal aim of this special issue is to publish quality papers of new developments and trends, novel techniques, and innovative methodologies on the theories and applications of computational intelligence and neuroscience in robotics.

Potential topics include but are not limited to the following:

  • Neural networks for biological and biomedical robots
  • Neuro-inspired robot navigation
  • Decision support systems in neurorobotics
  • Intelligent fault detection and identification in neurorobotics
  • Clustering and data analysis in neurorobotics
  • Swarm robotics based on neural networks
  • Neuro-fuzzy control design for cooperative robots

Articles

  • Special Issue
  • - Volume 2020
  • - Article ID 2390349
  • - Corrigendum

Corrigendum to “Control of a Humanoid NAO Robot by an Adaptive Bioinspired Cerebellar Module in 3D Motion Tasks”

Alberto Antonietti | Dario Martina | ... | Alessandra Pedrocchi
  • Special Issue
  • - Volume 2019
  • - Article ID 6506802
  • - Editorial

Computational Intelligence and Neuroscience in Neurorobotics

Somyot Kaitwanidvilai | Uma Seeboonruang | ... | Khemraj Emrith
  • Special Issue
  • - Volume 2019
  • - Article ID 9684140
  • - Research Article

A Thought-Operated Digital Random-Access Memory

Lee Ben-Ami | Ido Bachelet
  • Special Issue
  • - Volume 2019
  • - Article ID 1538757
  • - Research Article

Coevolution of the Asymmetric Morphology and the Behaviour of Simple Predator Agents in Predator-Prey Pursuit Problem

Milen Georgiev | Ivan Tanev | Katsunori Shimohara
  • Special Issue
  • - Volume 2019
  • - Article ID 6989128
  • - Research Article

Discrimination of Motion Direction in a Robot Using a Phenomenological Model of Synaptic Plasticity

Nareg Berberian | Matt Ross | Sylvain Chartier
  • Special Issue
  • - Volume 2019
  • - Article ID 8361369
  • - Research Article

Spatial Concept Learning: A Spiking Neural Network Implementation in Virtual and Physical Robots

André Cyr | Frédéric Thériault
  • Special Issue
  • - Volume 2019
  • - Article ID 4862157
  • - Research Article

Control of a Humanoid NAO Robot by an Adaptive Bioinspired Cerebellar Module in 3D Motion Tasks

Alberto Antonietti | Dario Martina | ... | Alessandra Pedrocchi
  • Special Issue
  • - Volume 2018
  • - Article ID 4952389
  • - Research Article

Neurofuzzy c-Means Network-Based SCARA Robot for Head Gimbal Assembly (HGA) Circuit Inspection

Somyot Kiatwanidvilai | Rawinun Praserttaweelap
  • Special Issue
  • - Volume 2018
  • - Article ID 5060857
  • - Research Article

Multilayer Hybrid Deep-Learning Method for Waste Classification and Recycling

Yinghao Chu | Chen Huang | ... | Xiaogang Xiong
Computational Intelligence and Neuroscience
 Journal metrics
Acceptance rate28%
Submission to final decision79 days
Acceptance to publication37 days
CiteScore4.700
Impact Factor2.284
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