Research on Quantum Particle Swarm Optimization in Mobile Robot Path Planning for Aged Service

被引：0
|
作者：
Jiao, Ming-hai [1 ]
Chen, Xi-bin [2 ]
Liu, Hao-qian [3 ]
Cheng, Yi-ran [2 ]
Zhang, Hao [2 ]
机构：
[1] Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110004, Peoples R China
[2] Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110004, Peoples R China
[3] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China
来源：
PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年
关键词：
Elderly community; Guide robot; Path planning; Quantum PSO; Grid graph model; GENETIC ALGORITHM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The pension robot can guide the elderly in community. The path planning environment of community for pension robot is so complicated that it is a NP-Hard problem in the optimization research. The local optimization solution is solved by the traditional swarm intelligent algorithm in path optimization problem. The novel model of path planning with community pension robot is presented, and the Quantum Particle Swarm Optimization algorithm is proposed for path planning. The robot can walk with global path in community, so as to avoid obstacle collision. The simulation results are implemented for verifying effective and robust algorithm, as well as the algorithm can overcome the shortcoming by traditional swarm intelligent algorithm. The performance is obviously improved for robot path planning.
引用
收藏
页码：2034 / 2039
页数：6
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