Abstract
This paper explores the development and implementation of a digital twin system for robotic applications, particularly focusing on mobile robots. Utilizing the Robot Operating System 2 (ROS2) and incorporating simulation tools Gazebo, our study develops a comprehensive framework that addresses energy consumption estimation and management through virtual-real synchronization. Key components include the use of a multilayer architecture - encompassing device, transmission, digital twin, application, and industry layers - and real-time monitoring and synchronising systems. A case study involving the Tello UAV showcases the practical applications and effectiveness of our system in simulating and enhancing real-world robotic operations, specifically in construction inspection tasks.
| Original language | English |
|---|---|
| Title of host publication | 2024 7th International Conference on Mechatronics, Robotics and Automation, ICMRA 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 49-54 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350352474 |
| DOIs | |
| Publication status | Published - 1 Jan 2024 |
| Externally published | Yes |
| Event | 7th International Conference on Mechatronics, Robotics and Automation, ICMRA 2024 - Wuhan, China Duration: 20 Sept 2024 → 22 Sept 2024 |
Publication series
| Name | 2024 7th International Conference on Mechatronics, Robotics and Automation, ICMRA 2024 |
|---|
Conference
| Conference | 7th International Conference on Mechatronics, Robotics and Automation, ICMRA 2024 |
|---|---|
| Country/Territory | China |
| City | Wuhan |
| Period | 20/09/24 → 22/09/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- digital twin system
- energy consumption estimation
- mobile robot
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