The ROS Based Robot for 3D Scanning Using Kinect 360 is an advanced robotic system developed for real-time environment mapping and 3D visualization. The system integrates a Microsoft Kinect 360 sensor with a Raspberry Pi 4 running the Robot Operating System (ROS) to capture depth and RGB image data from the surrounding environment. The acquired data is processed to generate accurate three-dimensional maps, which are transmitted wirelessly through Wi-Fi to a laptop for real-time monitoring and visualization. An Arduino UNO interfaced with a DC motor driver controls the movement of the robot, enabling smooth navigation and scanning operations. The project is designed to support autonomous navigation, obstacle detection, and environment analysis by utilizing ROS-based mapping and sensor integration techniques. The generated 3D maps can be applied in indoor navigation, robotic exploration, surveillance, virtual modeling, and research applications. By combining affordable hardware with open-source ROS technology, the system provides a cost-effective and efficient solution for robotics education, research, and real-time 3D scanning applications. The project demonstrates the practical implementation of intelligent robotic mapping systems capable of operating in dynamic environments.    

Objectives

1. To develop a ROS-based mobile robot capable of performing real-time 3D scanning and mapping using the Kinect 360 sensor.
2. To capture and process depth and RGB image data using Raspberry Pi 4 for accurate environment visualization.
3. To enable wireless transmission of 3D mapping data to a laptop through Wi-Fi for real-time monitoring.
4. To implement obstacle detection and avoidance techniques for autonomous robot navigation.
5. To control robot movement using Arduino UNO and DC motor driver interfacing.
6. To create an affordable and efficient robotic platform for educational, research, and indoor mapping applications.
7. To integrate ROS tools and packages for sensor communication, data processing, and robotic mapping.
8. To improve real-time spatial analysis and environment exploration using intelligent robotic systems.

      Components Used:

• Battery power supply.
• Raspberry pi4.
• Microsoft Kinect.
• Arduino UNO.
• DC motor driver.
• DC motor.
• Robot chassis.

    Software’s used:  

1. Python language.
2. Raspbian OS.
3. Express SCH for Circuit design.

     

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