Implementación de rutinas de movimiento aplicados a robots móviles mediante teleoperación basada en reconocimiento gesticular

Abstract

This project aims to implement movement routines in a mobile robot through teleoperation based on gesture recognition, using the Leap Motion sensor. The proposal seeks to generate an alternative to traditional control methods, which require physical interfaces and specific technical skills, limiting their accessibility and ease of use. The project covers the robot's electronics and the development of communication between the sensor and the control system. Using gesture processing and recognition algorithms, the user's hand movements are interpreted and converted into commands that allow the robot's movement to be controlled in real time. This approach promotes more natural human-robot interaction. The methodology applied includes the stages of design, programming, integration, and testing of the system. In order to evaluate the sensor's ability to reliably capture gestures, the project contributes to strengthening learning in robotics and proposes a technological solution for future applications in the industrial field and in assistance systems for people with motor disabilities.