Research on Optimization Method of Dredging Robot based on Deep Learning

Abstract

When facing the complex environment, the traditional dredging robot is often limited by the preset rules and algorithms, and it is difficult to adapt to the dynamically changing working environment. in recent years, the rapid development of deep learning has provided new ideas for robot trajectory planning. In this context, this paper proposes an optimization method based on deep learning, combined with deep neural network and reinforcement learning algorithm, aiming to improve the working efficiency and safety of dredging robot in complex environment.