Md Ether Deowan

Optimizing Underwater Robot Navigation: A Study of DRL Algorithms and Multi-Modal Sensor Fusion

Autonomous underwater navigation faces significant challenges due to the complexity of the environment, limited localization methods, and poor visibility. This paper investigates the performance of various reinforcement learning (RL) algorithms-Proximal Policy Optimization (PPO), Trust Region Policy