@inproceedings{32f2534e81484081aec2b145a6c38293,
title = "DITHER: Digital Twin for Energy Estimation of Heterogeneous Swarm of Robots",
abstract = "The increasing adoption of Unmanned Aerial Vehicles (UAVs) in industrial applications such as construction inspection and infrastructure monitoring necessitates the development of efficient path planning and energy management strategies. This paper presents DITER, a Digital Twin system designed for energy consumption profiling and management in UAV-based construction inspection tasks. The proposed system integrates real-time data acquisition, energy consumption profiling, and path optimization using a hybrid approach combining path planning and energy efficiency models. Experiments conducted with a DJI Tello UAV show that the digital twin framework facilitate UAV operational in complex inspection tasks by balancing energy consumption and path length. The proposed system can be extended to support multi-UA V collaborative operations in future research.",
keywords = "Construction Inspection, Digital Twin, Energy Management, UAV Path Planning",
author = "Omar Hammami and Chunyu Zhang",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025 ; Conference date: 17-02-2025 Through 20-02-2025",
year = "2025",
month = jan,
day = "1",
doi = "10.1109/SSD64182.2025.10989886",
language = "English",
series = "22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1284--1290",
booktitle = "22nd IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2025",
}
