Neural Networks for Path Planning
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 25 references that are in the map. First posted on arXiv 2 Jul 2022.
Builds on
2 of 25 references.
References · 2
- 2015Deep Residual Learning for Image Recognitioncited by 52,096
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
Built on by
Not cited yet.