{"title":"Artificial Intelligence Platform for Low-Cost Robotics","authors":"K. Afsari, Maha K. Saadeh","doi":"10.1109/ICSPIS51252.2020.9340156","DOIUrl":null,"url":null,"abstract":"The rise of Artificial Intelligence (AI) and robotics in the past decade has created various career opportunities in many industries such as robotics, manufacturing and healthcare. Thus, skills such as AI and robotics will play a critical role in the coming years. This project focuses on introduction of an AI platform for Low-cost robotics using MATLAB. The graphical based interface simplifies the task of design and implantation of machine learning functionalities such as object/pattern recognition and classification. The application offers three types of learning methods such as Machine learning, Deep Learning and Transfer Learning. Currently, the end devices are Arduino based and raspberry pi processors. The communication can be wired or wireless. The MATLAB app is tested using an Arduino based Robot (DFRobot Turtle 2WD) and a Raspberry pi-based robot to achieve object recognition and voice recognition.","PeriodicalId":373750,"journal":{"name":"2020 3rd International Conference on Signal Processing and Information Security (ICSPIS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd International Conference on Signal Processing and Information Security (ICSPIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPIS51252.2020.9340156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The rise of Artificial Intelligence (AI) and robotics in the past decade has created various career opportunities in many industries such as robotics, manufacturing and healthcare. Thus, skills such as AI and robotics will play a critical role in the coming years. This project focuses on introduction of an AI platform for Low-cost robotics using MATLAB. The graphical based interface simplifies the task of design and implantation of machine learning functionalities such as object/pattern recognition and classification. The application offers three types of learning methods such as Machine learning, Deep Learning and Transfer Learning. Currently, the end devices are Arduino based and raspberry pi processors. The communication can be wired or wireless. The MATLAB app is tested using an Arduino based Robot (DFRobot Turtle 2WD) and a Raspberry pi-based robot to achieve object recognition and voice recognition.