Study of Self-Organization Model of Multiple Mobile Robot
A good organization model of multiple mobile robot should be able to improve the efficiency of the system, reduce the complication of robot interactions, and detract the difficulty of computation. From the sociology aspect of topology, structure and organization, this paper studies the multiple mobi...
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2005-09-01
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Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.5772/5785 |
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doaj-c95f891dcba14054be4c211563e7608c2020-11-25T03:15:32ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142005-09-01210.5772/578510.5772_5785Study of Self-Organization Model of Multiple Mobile RobotCeng Xian-yi0Li Shu-qin1Xia De-shen2 Computer Science & Communication Engineering Institute of Jiangsu University. P.R. China 212013 Department of Computer Science, NanJing University of Science & Technology P.R. China 210094 Department of Computer Science, NanJing University of Science & Technology P.R. China 210094A good organization model of multiple mobile robot should be able to improve the efficiency of the system, reduce the complication of robot interactions, and detract the difficulty of computation. From the sociology aspect of topology, structure and organization, this paper studies the multiple mobile robot organization formation and running mechanism in the dynamic, complicated and unknown environment. It presents and describes in detail a Hierarchical-Web Recursive Organization Model (HWROM) and forming algorithm. It defines the robot society leader; robotic team leader and individual robot as the same structure by the united framework and describes the organization model by the recursive structure. The model uses task-oriented and top-down method to dynamically build and maintain structures and organization. It uses market-based techniques to assign task, form teams and allocate resources in dynamic environment. The model holds several characteristics of self-organization, dynamic, conciseness, commonness and robustness.https://doi.org/10.5772/5785 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ceng Xian-yi Li Shu-qin Xia De-shen |
spellingShingle |
Ceng Xian-yi Li Shu-qin Xia De-shen Study of Self-Organization Model of Multiple Mobile Robot International Journal of Advanced Robotic Systems |
author_facet |
Ceng Xian-yi Li Shu-qin Xia De-shen |
author_sort |
Ceng Xian-yi |
title |
Study of Self-Organization Model of Multiple Mobile Robot |
title_short |
Study of Self-Organization Model of Multiple Mobile Robot |
title_full |
Study of Self-Organization Model of Multiple Mobile Robot |
title_fullStr |
Study of Self-Organization Model of Multiple Mobile Robot |
title_full_unstemmed |
Study of Self-Organization Model of Multiple Mobile Robot |
title_sort |
study of self-organization model of multiple mobile robot |
publisher |
SAGE Publishing |
series |
International Journal of Advanced Robotic Systems |
issn |
1729-8814 |
publishDate |
2005-09-01 |
description |
A good organization model of multiple mobile robot should be able to improve the efficiency of the system, reduce the complication of robot interactions, and detract the difficulty of computation. From the sociology aspect of topology, structure and organization, this paper studies the multiple mobile robot organization formation and running mechanism in the dynamic, complicated and unknown environment. It presents and describes in detail a Hierarchical-Web Recursive Organization Model (HWROM) and forming algorithm. It defines the robot society leader; robotic team leader and individual robot as the same structure by the united framework and describes the organization model by the recursive structure. The model uses task-oriented and top-down method to dynamically build and maintain structures and organization. It uses market-based techniques to assign task, form teams and allocate resources in dynamic environment. The model holds several characteristics of self-organization, dynamic, conciseness, commonness and robustness. |
url |
https://doi.org/10.5772/5785 |
work_keys_str_mv |
AT cengxianyi studyofselforganizationmodelofmultiplemobilerobot AT lishuqin studyofselforganizationmodelofmultiplemobilerobot AT xiadeshen studyofselforganizationmodelofmultiplemobilerobot |
_version_ |
1724638970227195904 |