than the Dueling DQN algorithm. Then the path planning algorithm based on Probability Dueling DQN is combined with FastSLAM … Dueling DQN that is the improved path planning algorithm based on Dueling DQN and FastSLAM. This framework is used with the …

) of an autonomous robot moving through an unknown environment. The classical FastSLAM is a well-known solution to SLAM. In … FastSLAM, a particle filter is used for the robot pose estimation, and the Kalman filter (KF) is used for the feature location …’s estimation. However, the performance of the conventional FastSLAM is inconsistent. To tackle this problem, this study aims to …