Longyuan Zhang

Robot Navigation With Reinforcement Learned Path Generation and Fine-Tuned Motion Control

In this letter, we propose a novel reinforcement learning (RL) based path generation (RL-PG) approach for mobile robot navigation without a prior exploration of an unknown environment. Multiple predictive path points are dynamically generated by a deep Markov model optimized using an RL approach for