In recent years, the collaboration between humans and robots has become essential, revealing to be crucial in space environment exploration. The interest in soft systems for space missions represents a growing trend in recent years. Soft robots offer higher dexterity, larger variability of movements, better usability in otherwise inaccessible places and higher safety. The aim of this project is to propose a visual servoing control strategy that can be used for inflatable robots for space applications. 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 the images captures by one or several cameras.