Review on intelligent path planning algorithm of mobile robots

WANG Chun-ying; LIU Ping; QIN Hong-zheng

doi:10.13873/j.1000-9787(2018)08-0005-04

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Review on intelligent path planning algorithm of mobile robots

更新时间：2025-09-11

- Review on intelligent path planning algorithm of mobile robots
- Issue 8, Pages: 5-8(2018)
- 作者机构：
  
  山东农业大学机械与电子工程学院山东省园艺机械与装备重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2018)08-0005-04
  CLC： TP242
- Published：2018
- 稿件说明：
移动端阅览
WANG Chun-ying, LIU Ping, QIN Hong-zheng. Review on intelligent path planning algorithm of mobile robots[J]. 2018, (8): 5-8.
DOI：

WANG Chun-ying, LIU Ping, QIN Hong-zheng. Review on intelligent path planning algorithm of mobile robots[J]. 2018, (8): 5-8. DOI： 10.13873/j.1000-9787(2018)08-0005-04.

摘要

针对目前移动机器人路径规划所处的的环境复杂度高、随机性强等情况

难以有效地实现最优路径规划的问题

从移动机器人的实际应用出发

对点对点路径规划和遍历路径规划、全局路径规划和局部路径规划进行综述

对各类规划方法进行分析与归纳;重点分析强化学习算法的路径规划技术;针对目前路径规划算法存在的问题

提出类脑智能算法应用于路径规划的探索

同时给出路径规划在农业装备应用的新思路。

Abstract

High complexity and randomness of the environment for mobile robots path planning

it is difficult to realize the optimal path planning

aiming at point-to-point path planning and coverage path planning

global and local path planning are reviewed. All kinds of planning methods are summed up and analyzed

and emphatically introduce the reinforcement learning algorithm for path planning. An idea is presented with a brain-inspired intelligence algorithm for robot path planning. A new idea for application of path planning in agricultural equipment is put forward.

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