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
相关论文
共 50 条
  • [21] Path Planning of Mobile Robot Based on Improved Particle Swarm
    Qi, Yuming
    Xie, Bing
    Huang, Xiaochen
    Yuan, Miao
    Zhu, Chen
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 6937 - 6944
  • [22] A Chaotic Adaptive Particle Swarm Optimization for Robot Path Planning
    Lian, Jianfang
    Yu, Wentao
    Liu, Weirong
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 4751 - 4756
  • [23] APPLICATION OF PARTICLE SWARM OPTIMIZATION TO ROBOT PATH PLANNING PROBLEM
    Kobayashi, Masakazu
    Masatake, Higashi
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE 2010, VOL 2, PTS A AND B, 2010, : 1447 - 1456
  • [24] Research on Autonomous Moving Robot Path Planning Based on Improved Particle Swarm Optimization
    Nie, Zhibin
    Yang, Xiaobing
    Gao, Shihong
    Zheng, Yan
    Wang, Jianhui
    Wang, Zhanshan
    2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2016, : 2532 - 2536
  • [25] Research on Robot Path Planning Based on Fuzzy Neural Network and Particle Swarm Optimization
    Guo, Ying
    Wang, Weihong
    Wu, Sentang
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 2146 - 2150
  • [26] Path planning for mobile robot using self-adaptive learning particle swarm optimization
    Li, Guangsheng
    Chou, Wusheng
    SCIENCE CHINA-INFORMATION SCIENCES, 2018, 61 (05)
  • [27] Experimental path planning of a three-wheeled mobile robot using Particle Swarm Optimization
    Gholami, Farshad
    Monfared, Pedram
    Mousavi, Alireza
    2017 5TH RSI INTERNATIONAL CONFERENCE ON ROBOTICS AND MECHATRONICS (ICROM 2017), 2017, : 514 - 519
  • [28] Path planning for mobile robot using self-adaptive learning particle swarm optimization
    Guangsheng LI
    Wusheng CHOU
    Science China(Information Sciences), 2018, 61 (05) : 267 - 284
  • [29] Path planning for mobile robot using self-adaptive learning particle swarm optimization
    Guangsheng Li
    Wusheng Chou
    Science China Information Sciences, 2018, 61
  • [30] Autonomous Mobile Robot Path Planning Using Hybridization of Particle Swarm Optimization and Tabu Search
    Panda, M. R.
    Priyadarshini, R.
    Pradhan, S. K.
    2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH, 2016, : 764 - 770
12345