Framework for Classical Conditioning in a MobileRobot: Development of Pavlovian Model andDevelopment of Reinforcement Learning Algorithmto Avoid and Predict Noxious Events

Abstract: Nowadays, robots have more and more sensors and the technologies allow using them with less contraints as before. Sensors are important to learn about the environment. But the sensors can be used for classical conditioning, and create behavior for the robot. One of the behavior developed in this thesis is avoiding and predicting obstacles. The goal of this thesis is to propose a model which consists of developing a specific behavior to avoid noxious event, obstacles.