[Robotics] CFP - Special Issue "Intelligent Systems in Robotics"

[roboti...@gmail.com]

Dear Colleagues,

Nowadays, a variety of autonomous robots are changing our daily life by working on factory assembly lines, entertainment areas, service sites, and even mobile transportation. More interestingly, the unmanned aerial, ground, surface and/or underwater systems provide more efficient ways to execute various challenging tasks. Moreover, by employing intelligent approaches, advanced control methodologies for robot systems have been rapidly developed. For the reason, more efforts should be focused on the learning methodology for robotic systems. As a result, intelligent features, such as the fast adaptation, self-learning and autonomous capability, may be necessary for controlling robots.

Intelligent systems in robotics describes a class of control techniques that use various artificial intelligence (AI) techniques such as neural network control, fuzzy logic control, neuro-fuzzy control, expert systems, genetic control, evolutionary algorithms, multi-sensor integration, failure diagnosis, reconfigurable control, and swarm algorithms. Intelligent control systems are very useful in a robot area when no mathematical model is available a priori and intelligent control itself develops a system to be controlled. This special issue will focus on various applications of intelligent control in robotics.

This Special Issue aims at exhibiting the latest research achievement, findings and ideas in the areas of intelligence for robot control. The issue will carry revised and substantially extended versions of selected papers presented at the 18th International Symposium on Advanced Intelligent Systems (ISIS2017), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.

Suitable topics include, but are not limited, to the following:

Intelligent control of mobile robots
Intelligent of robot manipulators
Applications of intelligent control to autonomous systems
Unmanned surface/ underwater/ aerial vehicles
Control of Swarm robots
Reinforcement learning based control of robots
Composite Learning Based Intelligent Control
Intelligent Optimization and Applications
Pattern Recognition, Image Processing, and Machine Learning for Robot
Robot System Modelling and Parameter Estimation
Advanced Intelligent Control

Prof. Dr. Donghun Kim
Guest Editor

For more information, please access to http://www.mdpi.com/journal/robotics/special_issues/ISR

Robotics (ISSN 2218-6581; http://www.mdpi.com/journal/robotics) is a
journal published by MDPI AG, Basel, Switzerland. Robotics maintains
rigorous peer-review and a rapid publication process. All articles are
published with a CC BY 4.0 license. For more information on the CC BY
license, please see: http://creativecommons.org

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