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Research on Path Planning Method of Mobile Robot Based on Improved Spider Swarm Algorithm 基于改进蜘蛛群算法的移动机器人路径规划方法研究
International Conference on Machine Vision and Applications Pub Date : 1900-01-01 DOI: 10.1145/3523111.3523130
Yanhua Chen, Fenggang Liu, Bei Yang
{"title":"Research on Path Planning Method of Mobile Robot Based on Improved Spider Swarm Algorithm","authors":"Yanhua Chen, Fenggang Liu, Bei Yang","doi":"10.1145/3523111.3523130","DOIUrl":"https://doi.org/10.1145/3523111.3523130","url":null,"abstract":"Path planning is one of the important fields of mobile robot research. Its advantages and disadvantages directly affect the interaction ability between the robot and the surrounding environment. The commonly used global path planning methods are prone to problems such as decision-making speed decline and deadlock when expanding space. During iterative optimization, we simulate the motion law of spider population, that is, according to female Male spiders cooperate, attract each other and interact with each other in the process of marriage, and finally get the optimal solution. Experiments show that the improved spider colony algorithm can realize the path planning of mobile robot, improve its search ability, and avoid falling into local optimization in the process of path planning. Compared with spider colony algorithm and particle swarm optimization algorithm, the optimized shortest path and actual path are better.","PeriodicalId":410530,"journal":{"name":"International Conference on Machine Vision and Applications","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114467360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development of a powerful facial recognition system through an API using ESP32-Cam and Amazon Rekognition service as tools offered by Industry 5.0 通过API开发功能强大的面部识别系统，使用ESP32-Cam和Amazon rekrecognition服务作为工业5.0提供的工具
International Conference on Machine Vision and Applications Pub Date : 1900-01-01 DOI: 10.1145/3523111.3523122
Thelma Leonor Estévez Dorantes, David B Hernandez, Arnulfo León Reyes, Cynthia Elena Miranda Medina
{"title":"Development of a powerful facial recognition system through an API using ESP32-Cam and Amazon Rekognition service as tools offered by Industry 5.0","authors":"Thelma Leonor Estévez Dorantes, David B Hernandez, Arnulfo León Reyes, Cynthia Elena Miranda Medina","doi":"10.1145/3523111.3523122","DOIUrl":"https://doi.org/10.1145/3523111.3523122","url":null,"abstract":"The main intention of this work is to show how the evolution of Industry 5.0 has impacted on the development of highly advanced cloud tools to be integrated into any large-scale technological project. This work describes an Application Program Interface (API) development to take advantage of two major technologies, the use of ESP32-Cam as a means of image acquisition for IoT projects and the artificial intelligence service for facial recognition from Amazon Rekognition as part of the cloud computing and Industry 5.0. This API Integrates both technologies to create a facial recognition and people validation system in the cloud. The end-user system provides a high-speed response latency taking about 5 seconds to identify a person, offering a similarity match greater than 95%.","PeriodicalId":410530,"journal":{"name":"International Conference on Machine Vision and Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122797377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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