arXiv Open Access 2022

Neural Networks for Path Planning

Salim Janji Adrian Kliks
Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

Penulis (2)

S

Salim Janji

A

Adrian Kliks

Format Sitasi

Janji, S., Kliks, A. (2022). Neural Networks for Path Planning. https://arxiv.org/abs/2207.00874

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓