论文标题
路径规划的神经网络
Neural Networks for Path Planning
论文作者
论文摘要
科学界能够为实践问题提供一套新的解决方案，这些解决方案从效率和计算速度方面，从而实质上改善了现代技术的性能，这是由于神经网络体系结构的进步。考虑到机器人路径计划中神经网络的利用，我们介绍了最新的作品。我们的调查显示了考虑不同输入，输出和环境的问题的不同公式之间的对比，以及不同的神经网络架构如何为所有提出的问题提供解决方案。
The scientific community is able to present a new set of solutions to practical problems that substantially improve the performance of modern technology in terms of efficiency and speed of computation due to the advancement in neural networks architectures. We present the latest works considering the utilization of neural networks in robot path planning. Our survey shows the contrast between different formulations of the problems that consider different inputs, outputs, and environments and how different neural networks architectures are able to provide solutions to all of the presented problems.
