Special Issue: Selected papers from 2021 the 4th International Conference on Intelligent Autonomous System- Hybrid fuzzy systems for mobile robots and their applications

Theme and Scope

Mobile robots have become more common in commercial and industrial settings. Mobile robots have many potential applications in routine or dangerous tasks such as delivery of supplies in hospitals, cleaning of offices, and operations in a nuclear plant. Operator interface, Mobility or locomotion, Manipulators & Effectors, Programming, Sensing & Perception are the five primary Areas of Robotics. Articulated, SCARA, Delta & Cartesian Robots form the major classification in robotics. The use of robots has more than doubled in the last 20 years in most advanced economies. The top users of industrial robots in 2017 were China, Japan and South Korea, using nearly 50% of the world's stock of robots. Regarding industries, the highest usage of industrial robots in 2017 belonged to the automotive industry, which employed about 42% of all robots followed by the electrical and electronics industry at 28% approx.

Onto the downsides of robots, they need oodles of electricity to run which lead to additional issues with global warming and greenhouse gas emissions. They rely on clever humans to program them for specific tasks. And, though artificial intelligence and machine learning are coming on fast, this is a limiting factor in what Robots can do. One of the fundamental and critical research areas in mobile robotics is navigation, which generally includes local navigation and global navigation. Local navigation learns or plans the local paths using the current sensory inputs without prior complete knowledge of the environment, whereas Global navigation learns or plans the global paths based on a relatively abstract and complete knowledge about the environment. 

Hybrid learning algorithms for fuzzy neural network (FNN) systems, which combine back-propagating learning and the genetic algorithms, are a good alternative for solving complex problems. Hybrid control architecture, which combines the advantage of both the local and global optimization, and it has received considerable attention in the research area of mobile robotics. Although hybrid control is mostly adopted for robot navigation, the practical design and its performance, Behaviour design of robots, selection of learning and control algorithms for robot navigation systems are the major challenges in research areas.

The topics of interest for this Special Issue include, but are not limited to: 

  • Hybrid approach for autonomous robot navigation system
  • Hybrid fuzzy controller for real time mobile robot navigation
  • Fuzzy logic controller for intelligent robots
  • Application of fuzzy logic and image processing for mobile robot assistance
  • Hybrid fuzzy based collision avoidance for a mobile robot
  • Hybrid fuzzy systems for development of a re engagement system for socially interactive robots 


Instructions for Manuscripts

Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines.

Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech.  When submitting papers, authors should specify that the manuscript is for Special Issue on “Hybrid fuzzy systems for mobile robots and their applications”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline.

Important Dates

Submission deadline: 30 March 2022

First notification: 30 May 2022

Submission of revised manuscript: 15 July 2022

Notification of the re-review: 30 September 2022

Final notification: 30 December 2022

Tentative Publication: The 1st quarter of 2023


Guest Editors

Dr. Er. Meng Joo

Former Professor, Nanyang Technological University, Singapore

Visiting Professor of Dalian Maritime University, China and Bharath University, India

Email: mjer@bharathuniv.ac.in


Dr. Zhaojie Ju

Machine Learning and Robotics, School of Computing, University of Portsmouth, UK

Email: Zhaojie.Ju@port.ac.uk