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.
翻译:由于神经网络结构的进步,科学界能够提出一套解决实际问题的新办法,大大改善现代技术在效率和计算速度方面的绩效。我们介绍了考虑在机器人路径规划中使用神经网络的最新工作。我们的调查表明,考虑到不同投入、产出和环境的问题的不同表述,以及不同的神经网络结构如何能解决所提出的所有问题,两者之间的差异。