An efficient indoor large map global path planning for robot navigation-Reference-Cited by-同舟云学术

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An efficient indoor large map global path planning for robot navigation

Published:2024-08 Issue: Volume:248 Page:123388
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Meysami Ahmadreza^ORCID,Kelouwani Sousso,Cuilliere Jean-Christophe^ORCID,Francois Vincent,Amamou Ali,Allani Bilel^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Reference47 articles.

1. Chance-Constrained Approach to Optimal Path Planning for Urban UAS;Aggarwal,2020

2. Writing global path planners plugins in ROS: A tutorial;Alajlan;Robot Operating System (ROS) The Complete Reference,2016

3. Understanding of a convolutional neural network;Albawi,2017

4. Relaxed Dijkstra and A* with linear complexity for robot path planning problems in large-scale grid environments;Ammar;Soft Computing,2016

5. A proposed measure of environmental complexity for robotic applications;Anderson,2007

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Initialization Method of Genetic Algorithm for Robot Path Planning Based on Directed Acyclic Graph and Effective Obstacles*;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

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