Computational Intelligence and Neuroscience

Theory and Applications of Bioinspired Neural Intelligence for Robotics and Control


Status
Published

Lead Editor

1University of Guelph, Guelph, Canada

2University of Detroit Mercy, Detroit, USA

3University of New Brunswick, Fredericton, Canada

4Hohai University, Nanjing, China

5University of Hamburg, Hamburg, Germany


Theory and Applications of Bioinspired Neural Intelligence for Robotics and Control

Description

Research on computational intelligence and neuroscience, particularly bioinspired intelligence, has made significant progress in both understanding the neuroscience and biological systems, and applying to various robotic and control systems. This special issue is devoted to new activities in intelligent robotics and control systems with emphasis on humanoid robots and bioinspired robotics, where the methodologies for the robotic systems are mainly inspired from the strategies, mechanisms, and functionality of neural systems and biological systems, e.g., biologically-inspired neural networks, genetic algorithms, and fuzzy systems. The focus of this issue will be to present several theoretical and practical problems related to robotics and control system, particularly with bioinspired intelligence approaches.

Papers are solicited for the special issue of Computational Intelligence and Neuroscience covering research results as well as case studies and applications in related areas of interest.

Potential topics include, but are not limited to:

  • The biological fundamentals of bioinspired intelligence approaches
  • Optimization mechanism on bioinspired intelligence approaches
  • Performance measurements of bioinspired intelligence approaches
  • Stability and convergence of bioinspired intelligence approaches
  • Bioinspired trajectory generation and motion planning of robotic systems
  • Bioinspired path tracking and motion control of robotic systems
  • Intelligent cooperation and coordination of multirobots
  • Intelligence approaches for uncertainty handling in robotics and control system
  • Intelligence approaches for multisensor fusion in robotics and control systems
  • Intelligence approaches for machine vision in robotics and control system

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 5089767
  • - Editorial

Theory and Applications of Bioinspired Neural Intelligence for Robotics and Control

Simon X. Yang | Chaomin Luo | ... | Jianwei Zhang
  • Special Issue
  • - Volume 2016
  • - Article ID 3013280
  • - Research Article

Course Control of Underactuated Ship Based on Nonlinear Robust Neural Network Backstepping Method

Junjia Yuan | Hao Meng | ... | Jiajia Zhou
  • Special Issue
  • - Volume 2016
  • - Article ID 9731823
  • - Research Article

Optimization Control of the Color-Coating Production Process for Model Uncertainty

Dakuo He | Zhengsong Wang | ... | Zhizhong Mao
  • Special Issue
  • - Volume 2016
  • - Article ID 7189267
  • - Research Article

A Driving Behaviour Model of Electrical Wheelchair Users

S. O. Onyango | Y. Hamam | ... | N. Steyn
  • Special Issue
  • - Volume 2016
  • - Article ID 9853070
  • - Research Article

Gait Planning and Stability Control of a Quadruped Robot

Junmin Li | Jinge Wang | ... | Huijuan Tang
  • Special Issue
  • - Volume 2016
  • - Article ID 6054791
  • - Research Article

Bioinspired Coordinated Path Following for Vessels with Speed Saturation Based on Virtual Leader

Mingyu Fu | Yujie Xu
  • Special Issue
  • - Volume 2016
  • - Article ID 3810903
  • - Review Article

Bioinspired Intelligent Algorithm and Its Applications for Mobile Robot Control: A Survey

Jianjun Ni | Liuying Wu | ... | Simon X. Yang
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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