Motion generation of peristaltic mobile robot with particle swarm optimization algorithm

被引：0
|
作者：
Homma, Takahiro [1 ]
Kamamichi, Norihiro [1 ]
机构：
[1] Tokyo Denki Univ, Dept Robot & Mechatron, Adachi Ku, Tokyo 101, Japan
来源：
BIOINSPIRATION, BIOMIMETICS, AND BIOREPLICATION 2015 | 2015年 / 9429卷
关键词：
Bio-mimetics; Locomotion; Peristaltic mobile robot; Earthworm; Motion pattern; Optimization; GAIT GENERATION;
D O I：
10.1117/12.2084112
中图分类号：
TB3 [工程材料学]; R318.08 [生物材料学];
学科分类号：
0805 ; 080501 ; 080502 ;
摘要：
In this study, we focus on the peristaltic motion that is locomotive pattern of earthworms. To realize efficient motion of the peristaltic mobile robot, a dynamical model is introduced and the particle swarm optimization algorithm, one of the meta-heuristic optimization, is applied. The optimized results are investigated by comparing to simple periodic patterns.
引用
收藏
页数：8
相关论文
共 50 条
  • [31] Mobile robot navigation using particle swarm optimization and noisy RFID communication
    Gueaieb, Wail
    Miah, Md. Suruz
    2008 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MEASUREMENT SYSTEMS AND APPLICATIONS, 2008, : 111 - 116
  • [32] A Robust Path Planning For Mobile Robot Using Smart Particle Swarm Optimization
    Dewang, Harshal S.
    Mohanty, Prases K.
    Kundu, Shubhasri
    INTERNATIONAL CONFERENCE ON ROBOTICS AND SMART MANUFACTURING (ROSMA2018), 2018, 133 : 290 - 297
  • [33] Mobile robot global localization using differential evolution and Particle Swarm Optimization
    Vahdat, Ali R.
    NourAshrafoddin, Naser
    Ghidary, Saeed Shiry
    2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, 2007, : 1527 - 1534
  • [34] Mobile Robot Path Planning Based on Improved Localized Particle Swarm Optimization
    Zhang, Lin
    Zhang, Yingjie
    Li, Yangfan
    IEEE SENSORS JOURNAL, 2021, 21 (05) : 6962 - 6972
  • [35] Enhancement of The Fuzzy Control Response with Particle Swarm Optimization in Mobile Robot System
    Nurmaini, Siti
    Setianingsih, Febrina
    2018 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND COMPUTER SCIENCE (ICECOS), 2018, : 73 - 77
  • [36] Safe path planning of mobile robot based on improved particle swarm optimization
    Guo, Bingbing
    Sun, Yuan
    Chen, Yiyang
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2024,
  • [37] A global path planning approach based on particle swarm optimization for a mobile robot
    Zhang, Qiaorong
    Li, Shuhong
    6TH WSEAS INT CONF ON INSTRUMENTATION, MEASUREMENT, CIRCUITS & SYSTEMS/7TH WSEAS INT CONF ON ROBOTICS, CONTROL AND MANUFACTURING TECHNOLOGY, PROCEEDINGS, 2007, : 263 - +
  • [38] Advance Particle Swarm Optimization-Based Navigational Controller For Mobile Robot
    Deepak, B. B. V. L.
    Parhi, Dayal R.
    Raju, B. M. V. A.
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2014, 39 (08) : 6477 - 6487
  • [39] Advance Particle Swarm Optimization-Based Navigational Controller For Mobile Robot
    B. B. V. L. Deepak
    Dayal R. Parhi
    B. M. V. A. Raju
    Arabian Journal for Science and Engineering, 2014, 39 : 6477 - 6487
  • [40] Global path planning for mobile robot based on improved particle swarm optimization
    Xue, Yinghua
    Tian, Guohui
    Li, Guodong
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2008, 36 (SUPPL. 1): : 167 - 170
12345