|Table of Contents|

Method of Swarm Aggregation and Control for Intelligent RobotBased on Three-dimensional Gene Regulatory Network(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2022年01期
Page:
9-15
Research Field:
机器学习
Publishing date:

Info

Title:
Method of Swarm Aggregation and Control for Intelligent RobotBased on Three-dimensional Gene Regulatory Network
Author(s):
Fan Zhun1; 2; Ma Peili1; 2; Zhu Guijie1; 2; Xie Minchong1; Chen Tianshan1; Xie Fei1; Shi Ze1; 2; Bao Weidong3; Zhu Xiaomin3
(1.College of Engineering,Shantou University,Shantou 515063,China)(2.Key Lab of Digital Signal and Image Processing of Guangdong Province,Shantou University,Shantou 515063,China)(3.College of Systems Engineering,National University of Defense Technology,Changsha 410073,China)
Keywords:
intelligent swarm robots; gene regulatory network; three-dimensional space; swarm aggregation morphology; distributed trapping
PACS:
TP242.6
DOI:
10.3969/j.issn.1672-1292.2022.01.002
Abstract:
To address the problem that the traditional gene regulatory network(GRN)model could not generate suitable swarm aggregation morphology patterns in three-dimensional space,an aggregation and control method of swarm intelligent robot based on 3D GRN is proposed. Then,the performance of the method is tested in three-dimensional complex scenes in entrapping task. Furthermore,the V-rep platform is used to simulate real scenarios and verify the efficacy of the model when the environment is added to the physics engine. Simulation results show that the proposed method has good performance and is robust under complex scenarios.

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Last Update: 2022-03-15