Visual servoing for robot control: Learning activities using RoboDKde robots: actividades de aprendizaje con RoboDK
1135-9250
Abstract
Visual servo control is a key robotic control technique that uses visual feedback to dynamically adjust movements. This study, conducted within the AIM@VET project, evaluates the effectiveness of a RoboDK-based lesson with 25 vocational students. The lesson was divided into two activities: Activity 1, which focused on image processing and computer vision setup, and Activity 2, which emphasized the implementation of visual servo control. Data were collected using a multiple-choice questionnaire and two open-ended questions to assess both knowledge acquisition and students' perceptions. The average score was 5.96. Higher-scoring questions related to Activity 2, while lower-scoring questions highlighted difficulties in image processing and computer vision setup. While students rated the lesson positively, many found Activity 1 unclear, reinforcing previous findings that abstract image processing concepts require more structured learning approaches. To enhance understanding, structured tutorials, real-time feedback mechanisms, and guided exercises in RoboDK are recommended.