A Survey on Path Planning for Mobile Robot Systems

被引:4
|
作者
Gao, Hejia [1 ]
Liu, Dongliang [1 ]
Hu, Juqi J. [1 ]
机构
[1] Anhui Univ, Sch Artificial Intelligence, Hefei 230601, Peoples R China
来源
2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS | 2023年
基金
安徽省自然科学基金;
关键词
Mobile robots; Autonomous vehicles; Path planning; Artificial intelligence; ALGORITHM;
D O I
10.1109/DDCLS58216.2023.10166176
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
During the past three decades, it is witnessed that a lot of intense interests and quick advancements have been poured down to the field of robot vehicles. Multiple types of robots, like sweeping robots, greeting robots and robotic toys have become more and more common in people's daily life. As a core part of robot technology, path planning is to find a fast and safe route from the initial position to the target destination. Motivated by making convenience for scholars who are ambitious to study the path planning technologies, this paper has conducted a round review on this topic. Throughout this paper, the path planning technologies of robot vehicles have been divided into three categories, namely, traditional, intelligent and other approaches. After the main concerns of path planning are concluded for the mobile robot vehicles, the future research directions are subsequently discussed.
引用
收藏
页码:1176 / 1181
页数:6
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