Welcome to ITSIS’2021
France Paris, July 8-10, 2021 Paper Submission
Welcome to ITSIS’2021,
France Paris, July 8-10, 2021
Welcome to ITSIS’2021,
France Paris, July 8-10, 2021
Welcome to ITSIS’2021,
France Paris, July 8-10, 2021
Welcome to ITSIS’2021,
France Paris, July 8-10, 2021

Special Session Submission

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Proposed Special sessions

Sepecial session 1 : Classical Controllers Versus Artificial Intelligence Taword Smart Robots Control Strategies

Session Co-Chairs:

- Chiraz Ben Jabeur, Assistant Professor, University of Computer Science ISI, chirazbenjabeur@gmail.com


Session description:

Over the years, many methods for control have been developed. Each of these has had its own advantages and disadvantages over other methods. The different methods of control can be divided into two categories: Classical Control and Intelligent Control. The differences between these two categories are based on the benefits of each of these categories. For any mobile robot, the ability to navigate in its environment is important. Navigation is a field of research that focuses on the process of determination/estimation of a robot’s position and velocity, as well as its attitude. It is also often associated with feedback control, which is dealing with the design of systems to control the movement of robot. Control refers to the manipulation of actuators, to execute guidance commands and maintain stability of the vehicle. Recent advancements 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 robot.

This special session deals with classical controllers versus artificial intelligence taword smart robots control strategies; it consists of a 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 is become one of the exciting tools to avoid them. The goal is to implement artificial intelligence controllers for optimal navigation allowing optimisation in terms of time and errors. It is also to impose trajectories that mobile robot 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.


The principal topics planned to be covered are as follows, but are not limited to:

  • Artificial intelligence control in robotics;
  • Path planning and self-localization;
  • Speed, tracking and obstacle avoidance control ;
  • Trajectory optimization in navigation;
  • Machine learning for robot state estimation and control;
  • Applications on aerial, marine and terrestrial robot navigation and control systems;
  • Robot path planning in the presence of static or dynamic obstacles;
  • Multi-robot system application with artificial intelligence;
  • Intelligent control techniques for path planning of humanoid robots.
Sepecial session 2 : Artificial intelligence versus Bayesian methods for signal and image biomedical analysis
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