Obstacle Detection and Avoidance Robot with Multi-Control System Using IoT | IEEE Conference Publication | IEEE Xplore

Obstacle Detection and Avoidance Robot with Multi-Control System Using IoT


Abstract:

This project aims to develop an obstacle detection and avoidance robot using the IoT (Internet of Things) with multiple control systems, including voice, terminal, and Bl...Show More

Abstract:

This project aims to develop an obstacle detection and avoidance robot using the IoT (Internet of Things) with multiple control systems, including voice, terminal, and Bluetooth mode. The proposed robot is designed to navigate through its environment autonomously and avoid obstacles in its path using an ultrasonic sensor. It also includes a servo motor for steering and a gear motor for driving the wheels. The robot can be controlled using various modes, including voice mode, terminal mode, and Bluetooth mode. The voice mode allows the user to communicate with the robot using voice commands, while the terminal mode enables the user to send commands to the robot through a terminal window. The Bluetooth mode allows the user to control the robot wirelessly using a smartphone or a tablet. The proposed system uses an Arduino board as the microcontroller, which is programmed using the Arduino IDE. The IoT capabilities are implemented using a Wi-Fi module, which enables the robot to connect to the internet and be controlled remotely from anywhere in the world. The robot's data, including its location and sensor readings, are transmitted to a cloud-based platform using MQTT (Message Queuing Telemetry Transport) protocol. The system's versatility and multiple control modes make it suitable for various applications, including home automation, security, and surveillance, and industrial automation. Overall, the proposed system provides a cost-effective solution for building a versatile and efficient obstacle avoidance robot with multi-control systems using IoT.
Date of Conference: 01-02 November 2023
Date Added to IEEE Xplore: 03 January 2024
ISBN Information:
Conference Location: Chennai, India

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