Teleoperation System on Differential Mobile-Robot for Online Greenhouse Monitoring

• Published in: 2024 International Seminar on Intelligent Technology and Its Applications (ISITIA) pp. 583 - 588
• Main Authors: Fanani, Nurul Zainal, Afianah, Nuzula, Putri, Salsabila Liandra, Kautsar, Syamsiar, Nari, Mochamad Irwan, Rofi'i, Ahmad, Purnomo, Fendik Eko, Atmajaya, Aditya Wahyu Winadi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 10.07.2024
• Subjects: Differential wheeled robot; Environmental Monitoring; Firebase; Green products; Python Socket; Real-time systems; Robot sensing systems; Sockets; Streaming media; Teleoperation; Temperature measurement; Temperature sensors
• ISSN: 2769-5492
• DOI: 10.1109/ISITIA63062.2024.10668172

This paper discusses the development of a teleoperation system on a differential wheeled robot to monitor environmental conditions in a greenhouse online. This differential wheeled robot is equipped with various environmental sensors such as temperature, humidity, and lighting sensors, and is equipped with a camera for visual monitoring. This teleoperation system is controlled online via the Firebase and Python Socket platforms. The goal of this research is to create a solution that allows users to effectively monitor and control robots remotely in a greenhouse environment. Robots can continuously collect environmental data and send that information to Firebase servers. Users can access this data via mobile or web applications, as well as control robot movements in real-time using the provided interface. The use of differential wheel drive allows the robot to move quickly and agilely in a confined greenhouse environment. Online control via Python Socket allows users to interact with the robot directly via the internet, with the ability to control the direction of movement, display sensor data in real-time, and make decisions based on the information received. The results of this research show that the implemented teleoperation system is successful in monitoring environmental conditions in the greenhouse online. Users can easily control and monitor the robot, as well as access environmental data received by the robot accurately. This system has the potential to be used in a variety of applications that require remote monitoring and control in difficult-to-access environments.