Guest Editor(s)

• Prof. Hassene Seddik

  Higher National School of Engineering of Tunis, University of Tunis, Tunis, Tunisia.

  Website | E-mail

• Prof. Chiraz ben Jabeur

  Higher Institute of Informatics, University of Tunis el Manar, Tunis, Tunisia.

  Website | E-mail

• Prof. Nahla Khraief Haddad

  National School of Engineering of Tunis, University of Tunis el Manar, Tunis, Tunisia.

  Website | E-mail

Special Issue Introduction

For mobile robots, autonomous navigation and trajectory tracking are considered an asset, especially when it comes to navigation in hostile environments with topological imperfections. In this case, the decision must be taken in an optimal way so as not to risk damaging the machine. The robot control must take into consideration the control of the actuators to execute the guidance commands and maintain the stability of the whole system. Current improvements are achieved in this field and concern the determination and (or) control of the states of the vehicle (position, direction, attitude, altitude, velocity, etc.). Avoiding dangerous situations such as collisions and unsafe conditions (temperature, radiation, exposure to weather, etc.) in a smart way, is very important to accomplish the mission of the robot.

This special session deals with classical controllers versus artificial intelligence toward smart robots control strategies; it consists of smart tracking control and navigation of mobile robots with the use of classical controllers such as PD, PID, and others and artificial intelligence based on neural networks, fuzzy logic, and genetic algorithms. In fact, when tracking a trajectory, the robot may encounter some obstacles. These obstacles (depending on the robot environment) can damage the robot or blocks its navigation, or change its trajectory. Recently the use of artificial intelligence in robotics has become one of the exciting tools to avoid them. The goal is to implement artificial intelligence controllers for optimal navigation. It is also to impose trajectories that mobile robots must be able to follow. We invite original papers that address new developments in the research on artificial intelligence-based indoor/outdoor navigation and control strategies. The main goal is to summarize the theoretical and experimental results within this field and present different applications.

This special issue will focus on the classical controllers versus artificial intelligence toward smart robots control strategies based on neural networks, fuzzy logic, and genetic algorithm. Potential topics include but are not limited to the following:
● Multi-robot planning and coordination
● Neural networks, fuzzy logic, and genetic algorithms based robotics control
● Advanced learning-based control for robots
● Trajectory optimization in navigation
● Robot path planning and localization
● Robot collision avoidance
● Artificial cognition for human-robot interaction
● Intelligent control techniques for humanoid robots
● Autonomous navigation in hostile environment
● Wearable robots
● Application studies

Submission Deadline

30 Aug 2022

Submission Information

Articles of special issue are free of charge for article processing.
For Author Instructions, please refer to http://comengsys.com/pages/view/author_instructions
For Online Submission, please login at https://oaemesas.com/login?JournalId=ces&SpecialIssueId=ces220301
Submission Deadline: 30 Aug 2022
Contacts: Wen Zhang, Assistant Editor, assistant_editor@comengsys.com