Luo, Jihao and Fei, Zesong and Wang, Xinyi and Tang, Shuntian and Liu, Zilong and Zhou, Yiqing (2026) Toward Low-Altitude Embodied Intelligence: A Sensing-Communication-Computation-Control Closed-Loop Perspective. IEEE Communications Magazine. (In Press)
Luo, Jihao and Fei, Zesong and Wang, Xinyi and Tang, Shuntian and Liu, Zilong and Zhou, Yiqing (2026) Toward Low-Altitude Embodied Intelligence: A Sensing-Communication-Computation-Control Closed-Loop Perspective. IEEE Communications Magazine. (In Press)
Luo, Jihao and Fei, Zesong and Wang, Xinyi and Tang, Shuntian and Liu, Zilong and Zhou, Yiqing (2026) Toward Low-Altitude Embodied Intelligence: A Sensing-Communication-Computation-Control Closed-Loop Perspective. IEEE Communications Magazine. (In Press)
Abstract
The rapid growth of the low-altitude economy drives increasingly autonomous unmanned aerial vehicle (UAV) operations, giving rise to low-altitude embodied intelligence (LAEI), in which sensing, communication, computation, and control (SC³) are tightly integrated to enable closed-loop interaction, ensuring timely, effective, and safe responses in complex or unknown environments. This article systematically explores the LAEI networks, from its fundamental architecture to the diverse scenarios that it can support. We examine key enabling techniques that sustain timely information exchange and effective decision feedback within the SC³ closed loop. A representative lowaltitude UAV mission in an unknown urban area is presented as a case study, where the UAV provides communication services and performs environmental sensing to inform closed-loop control, illustrating how coordinated SC³ capabilities enable efficient and responsive operation. By identifying major challenges and outlining future research directions, this work serves as a cornerstone for developing next-generation low-altitude intelligent systems.
| Item Type: | Article |
|---|---|
| Subjects: | Z Bibliography. Library Science. Information Resources > ZR Rights Retention |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 27 Apr 2026 09:02 |
| Last Modified: | 27 Apr 2026 09:02 |
| URI: | http://repository.essex.ac.uk/id/eprint/43176 |
Available files
Filename: SCCC.pdf
Licence: Creative Commons: Attribution 4.0