Yanambakkam Hemanth Teja, V. Bhardwaj, Srikanth Kini
{"title":"基于物联网和机器智能的路径规划和机器人定位","authors":"Yanambakkam Hemanth Teja, V. Bhardwaj, Srikanth Kini","doi":"10.1109/ICSSIT46314.2019.8987894","DOIUrl":null,"url":null,"abstract":"The aim of this research is to build an autonomous robot by integrating hardware components such as PIC microcontroller, APR voice module, RSSI module, ultrasonic sensors, GSM module, and DC motor. The proposed robot represents a boat node that is integrated with the Zigbee technology. The ZigBee technology measures the received signal strength (RSSI), which is used to determine the location of the boat node. Furthermore, the autonomous robot node also utilizes ultrasonic sensors in detecting obstacles and avoiding them. The robot is also integrated with computational logic and artificial intelligence that help the robot node in its autonomous path identification. Our proposed work integrates the concepts of embedded systems, internet of things and artificial intelligence to provide a continuous monitoring system that can be useful for maritime purposes.","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Path Planning and Robot Localization using Internet of Things and Machine Intelligence\",\"authors\":\"Yanambakkam Hemanth Teja, V. Bhardwaj, Srikanth Kini\",\"doi\":\"10.1109/ICSSIT46314.2019.8987894\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this research is to build an autonomous robot by integrating hardware components such as PIC microcontroller, APR voice module, RSSI module, ultrasonic sensors, GSM module, and DC motor. The proposed robot represents a boat node that is integrated with the Zigbee technology. The ZigBee technology measures the received signal strength (RSSI), which is used to determine the location of the boat node. Furthermore, the autonomous robot node also utilizes ultrasonic sensors in detecting obstacles and avoiding them. The robot is also integrated with computational logic and artificial intelligence that help the robot node in its autonomous path identification. Our proposed work integrates the concepts of embedded systems, internet of things and artificial intelligence to provide a continuous monitoring system that can be useful for maritime purposes.\",\"PeriodicalId\":330309,\"journal\":{\"name\":\"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSIT46314.2019.8987894\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSIT46314.2019.8987894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Path Planning and Robot Localization using Internet of Things and Machine Intelligence
The aim of this research is to build an autonomous robot by integrating hardware components such as PIC microcontroller, APR voice module, RSSI module, ultrasonic sensors, GSM module, and DC motor. The proposed robot represents a boat node that is integrated with the Zigbee technology. The ZigBee technology measures the received signal strength (RSSI), which is used to determine the location of the boat node. Furthermore, the autonomous robot node also utilizes ultrasonic sensors in detecting obstacles and avoiding them. The robot is also integrated with computational logic and artificial intelligence that help the robot node in its autonomous path identification. Our proposed work integrates the concepts of embedded systems, internet of things and artificial intelligence to provide a continuous monitoring system that can be useful for maritime purposes.