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Corresponds to the first project for the class "Introduction to intelligent robotics". Modification of few parts of the base code and describe those modifications and its reasoning in the file attached.
A repository containing basic robot controllers (various types: e.g. NAO by Aldebaran, e-Puck and more) that were implemented or upgraded during the experimental part of the course Autonomous Agents at TUC. The evaluation and appliance of the controllers developed, was carried out using Webots R2021 simulation enviroment.
The objective is to teach robot to find and reach the target object in the minimum number of steps and using the shortest path and avoiding any obstacles such as humans, walls, etc usinf reinforcement learning algorithms.