RETRACTED: Design Optimization of IoT-Assisted Intelligent Education Soft Robot Based upon Improved GA (Retracted Article)

被引:2
作者
Wu, Qun [1 ]
Ji, Gaoqing [2 ]
机构
[1] Hunan Inst Technol, Sch Design & Art, Hengyang 421002, Hunan, Peoples R China
[2] Hebei Univ Architecture, Coll Elect Engn, Zhangjiakou 075000, Hebei, Peoples R China
关键词
GENETIC ALGORITHM; SYSTEM; MODEL;
D O I
10.1155/2022/7265308
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A soft robot is a kind of robot designed to simulate mollusks. It has the characteristics of degrees of freedom, strong adaptability, and high flexibility and safety. The main purpose of this paper is to study the intelligent education assistance of soft robots and then combine the application of improved genetic algorithm and the Internet of Things technology in soft robots to improve its performance and effect. Therefore, this paper designs the optimal guidance strategy through the NSGA genetic algorithm and then combines the improved genetic algorithm and the application of the Internet of Things technology in the flexible actuator and FEA actuator of the soft robot. In order to optimize the performance of the IoT-assisted intelligent education software robot based on the improved genetic algorithm, the genetic algorithm simulation test experiment, the rolling motion simulation experiment of the bionic software robot, and the inflating and exhausting experiment of the base section of the software robot are designed and analyzed. Through the analysis of the data obtained from the experiment, this paper finally designs a set of controlled experiments to verify its teaching ability. The experimental results show that the students' evaluation of the IoT intelligent education software robot education method based on the improved genetic algorithm designed in this paper is 16.31 points higher than that of the traditional education method. Compared with the traditional teaching, the scores of the students after the IOT intelligent education software robot teaching based on the improved genetic algorithm is 11.16 points higher.
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页数:15
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共 28 条
[1]   Information Management and IoT Technology for Safety and Security of Smart Home and Farm Systems [J].
Almomani, Ammar ;
Al-Nawasrah, Ahmad ;
Alomoush, Waleed ;
Al-Abweh, Mustafa ;
Alrosan, Ayat ;
Gupta, Brij B. .
JOURNAL OF GLOBAL INFORMATION MANAGEMENT, 2021, 29 (06)
[2]   Twisted and coiled polymer (TCP) muscles embedded in silicone elastomer for use in soft robot [J].
Almubarak Y. ;
Tadesse Y. .
International Journal of Intelligent Robotics and Applications, 2017, 1 (03) :352-368
[3]   Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm [J].
Arabasadi, Zeinab ;
Alizadehsani, Roohallah ;
Roshanzamir, Mohamad ;
Moosaei, Hossein ;
Yarifard, Ali Asghar .
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2017, 141 :19-26
[4]   Desirability-Based Design of Space Structures Using Genetic Algorithm and Fuzzy Logic [J].
Babaei, Mehdi ;
Sheidaii, Mohammad Reza .
INTERNATIONAL JOURNAL OF CIVIL ENGINEERING, 2017, 15 (2A) :231-245
[5]   NB-IOT TECHNOLOGY OVERVIEW AND EXPERIENCE FROM CLOUD-RAN IMPLEMENTATION [J].
Beyene, Yihenew Dagne ;
Jantti, Riku ;
Tirkkonen, Olav ;
Ruttik, Kalle ;
Iraji, Sassan ;
Larmo, Anna ;
Tirronen, Tuomas ;
Torsner, Johan .
IEEE WIRELESS COMMUNICATIONS, 2017, 24 (03) :26-32
[6]   On economic applications of the genetic algorithm: a model of the cobweb type [J].
Dawid, H ;
Kopel, M .
JOURNAL OF EVOLUTIONARY ECONOMICS, 1998, 8 (03) :297-315
[7]   New approach to design SVC-based stabiliser using genetic algorithm and rough set theory [J].
Fetouh, Tamer ;
Zaky, Mohamed S. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2017, 11 (02) :372-382
[8]   A Set-Based Genetic Algorithm for Interval Many-Objective Optimization Problems [J].
Gong, Dunwei ;
Sun, Jing ;
Miao, Zhuang .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2018, 22 (01) :47-60
[9]   Art Product Design and VR User Experience Based on IoT Technology and Visualization System [J].
Guo, Ling ;
Wang, Peng .
JOURNAL OF SENSORS, 2021, 2021 (2021)
[10]   A genetic algorithm approach for location-inventory-routing problem with perishable products [J].
Hiassat, Abdelhalim ;
Diabat, Ali ;
Rahwan, Iyad .
JOURNAL OF MANUFACTURING SYSTEMS, 2017, 42 :93-103