Providing intelligence to robotics systems is a hot topic nowadays. While many advances have been made in low-level and mid-level robot control, there is still a need to conceive high-level controllers that can properly sense, perceive, and interact with the surrounding environments. Nevertheless, while research is now focused on this challenging point, current robots still do not show these improved capabilities that enable them to perform truly complex applications in unstructured and evolving environments.
The special issue focuses on the topic of providing intelligence to the robotic systems from the control point of view, developing adaptable control frameworks that would enable a robot to learn new tasks in new situations.
The following topics are of interest (not limited to):
● Intelligent control
● Task learning
● Modular control framework
● Evolving controllers
● Evolutionary learning applied to control
● Transfer learning
● Sensing and perception for adaptable learning and control
● Online planning in evolving environments