Recent Advances of Visual Servoing in Robot Control

Dear Colleagues,

Visual servoing is a well-known approach to guide robots using visual information. Image processing, robotics and control theory are combined in order to control the motion of a robot depending on the visual information extracted from images captured by one or several cameras. With respect to vision issues, different problems are currently under research, such as the use of different kinds of image features (or different kinds of cameras), image processing at high velocity, convergence properties, etc. Furthermore, the use of new control schemes allows the system to behave more robustly. Related issues such as optimal and robust approaches, learning-based algorithms, path tracking or sensor fusion allow the application of visual servoing systems in different domains.

This Special Issue aims to cover the most recent advances in visual servoing, including industrial and service robotics. Novel theoretical approaches or practical applications of all aspects of visual servoing systems are welcomed. Reviews and surveys of the state of the art are also welcomed. Topics of interest to this Special Issue include, but are not limited to, the following:

• Path planning in visual servoing;
• Navigation and localization using visual servoing;
• Dynamic and direct visual control of robotic systems;
• Robust and optimal control of robots;
• Deep learning and machine learning in visual servoing;
• Non-linear visual control of robotics systems;
• Visual servoing in manipulation tasks;
• Visual servoing in field robotics;
• Space robotics and visual servoing;
• Humanoid robots and visual servoing.

Prof. Dr. Jorge Pomares
Prof. Dr. José L. Ramón
Guest Editors

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