Surface Type Detection for the Robot's Indoor Navigation using Signal Processing and Machine Learning

This project aimed at developing an identification strategy for the robot to sense the environment in which they are employed. The strategy is developed using machine learning techniques where the features are extracted through the techniques based on signal processing.