Enhancing Autonomous Robotics Through Cloud Computing

• Main Authors: Subramaniam, Arjun, Prajapati, Deep Harshad, Alremeithi, Khalifa, Sealy, Winston
• Format: Conference Proceeding
• Language: English
• Subjects: Cloud computing; Containers; Cyber-Physical Systems (CPS); Digital twins; Industrial In-ternet of Things (IIoT); Robot kinematics; Service robots; Simultaneous localization and mapping; Swarm robotics
• ISSN: 2834-8249
• DOI: 10.1109/IAICT62357.2024.10617458

This paper presents a comprehensive study on the integration of Cyber-Physical Systems (CPS) and the Industrial Internet of Things (IIoT), with a focus on cloud-based swarm robotics systems for virtual commissioning. Utilizing Pololu Romi robots equipped with Lidar sensors and leveraging advanced SLAM algorithms from ROS2, the research explores the enhancement of robotics autonomy and coordination through cloud computing. The study emphasizes the significance of digital twins in testing and refining swarm strategies, reducing operational risks and commissioning resources. The adoption of Docker and Portainer for efficient container orchestration and GitLab for a robust CI/CD framework underlines the application of cutting-edge methodologies in virtual commissioning. The paper highlights the practical implications of digital twins and containerization in industrial robotics, showcasing scalability and efficiency in swarm deployment. Moreover, it contributes to the discourse on cloud computing and IoT in advancing robotic autonomy. Through a systematic investigation, the paper outlines the technological architecture, virtual commissioning processes, and the operational effectiveness of the explored cloud-based swarm robotics system, marking a significant stride in the field of industrial automation and robotics.