日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
経路計画arXiv:2207.00874

経路計画のためのニューラルネットワーク

Neural Networks for Path Planning

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ロボットの経路計画にニューラルネットワークを活用した最新研究を調査し、問題設定やネットワーク構造の違いを整理したサーベイ論文。

著者: Salim Janji, Adrian Kliks

分類: cs.AI, cs.RO

原文アブストラクト

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.

関連論文

PR本紙発行元 EmplifAI