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@article{203254,
        author = {D.Pavana Kumari and Dr. R. Prasad Rao and S.Divya and V.Sai Suvarna and B.Dileep and K.Rama Mohan},
        title = {Design and Development of Rover Using ESP32 And Mission Planner},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {10120-10123},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=203254},
        abstract = {Autonomous robots are becoming an important part of modern technology due to their ability to perform tasks without direct human intervention. These robots can operate in dangerous, remote, or difficult environments where human presence may not be possible or safe. One of the most common applications of autonomous robots is the rover, which can move across terrain while collecting data or performing missions. This project focuses on developing a rover that can navigate autonomously using GPS coordinates. The rover uses the ESP32 microcontroller as its main control unit. ESP32 is a powerful microcontroller with built-in WiFi and Bluetooth capabilities, making it suitable for IoT-based robotics applications. [1][2] [3]
The navigation of the rover is controlled using Mission Planner software. Mission Planner allows users to define waypoints and mission paths that the rover must follow. These waypoints represent GPS coordinates that guide the rover along a predefined route. A NEO-6M GPS module is used to determine the rover's real-time geographic position. The GPS module communicates with the ESP32 and continuously provides latitude and longitude data. The rover compares its current location with the target waypoint and calculates the distance between them. [4]},
        keywords = {ESP32, Autonomous Rover, GPS Navigation, Mission Planner, IoT, Wi-Fi Communication, NEO-6M GPS, Cloud-Based Monitoring.To enable remote communication and monitoring, the system uses WiFi connectivity. Waypoints are uploaded to a cloud database using a Python script and Google Sheets integration. The rover downloads the waypoints and begins navigation automatically. Additionally, the rover includes a WiFi-based manual control system. When the rover reaches the final waypoint, it switches to WiFi control mode, allowing users to manually control the rover through a mobile browser.This project demonstrates the integration of robotics, GPS navigation, IoT communication, and cloud-based mission management to create an intelligent autonomous rover system.},
        month = {May},
        }