Description

This thesis will explore the classification of human intention in a dynamic human-robot interaction scenario using a mobile robot, called IVO. This work will investigate different approaches to determine the most effective methods for intention classification, focusing on the relationship between the human's current position, predicted trajectory, and the robot's trajectory. The study will also evaluate the role of additional data in enhancing classification accuracy.