Abstract
Path planning and localization problems in autonomous navigation of mobile robots are often independently approached. However, both are essential to develop systems on autonomous robots field. This project intends to analyze the simultaneous approach of extended Kalman filter to solve not localization problem and q-learning algorithm to address path planning with unknown obstacle avoidanc…