Poster: Physics based digital twin framework for an autonomous underwater vehicle
Conference poster
Tiwari, S., Kumar, J.K.S., Naggarapu, M., Venkataraman, H. and Shah, P. 2026. Poster: Physics based digital twin framework for an autonomous underwater vehicle. 24th ACM International Conference on Mobile Systems, Applications, and Services. Cambridge, UK 21 - 25 Jun 2026 Association for Computing Machinery (ACM). pp. 17-18 https://doi.org/10.1145/3812835.3814858
| Type | Conference poster |
|---|---|
| Title | Poster: Physics based digital twin framework for an autonomous underwater vehicle |
| Authors | Tiwari, S., Kumar, J.K.S., Naggarapu, M., Venkataraman, H. and Shah, P. |
| Abstract | The performance of Autonomous Underwater Vehicle (AUV) is extremely difficult to analyze in the digital world due to limited communication and lack of GPS in underwater. The major challenge is modeling the dynamic environment. This work presents a Unity-based Digital Twin(DT) framework of the AUV and the underwater environment. A physics-based water model, incorporating Smoothed Particle Hydrodynamics (SPH) and ray-marching techniques, is employed to simulate the underwater environment and analyze vehicle dynamics and navigation, enabling simulation-based testing, algorithm validation, and performance evaluation of AUV missions before real-world deployment. |
| Sustainable Development Goals | 9 Industry, innovation and infrastructure |
| Middlesex University Theme | Creativity, Culture & Enterprise |
| Conference | 24th ACM International Conference on Mobile Systems, Applications, and Services |
| Page range | 17-18 |
| Proceedings Title | MobiSys Companion '26: Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services Companion |
| ISBN | 9798400727115 |
| Publisher | Association for Computing Machinery (ACM) |
| Publication dates | |
| Online | 20 Jun 2026 |
| 21 Jun 2026 | |
| Publication process dates | |
| Accepted | 25 Apr 2026 |
| Deposited | 22 Jun 2026 |
| Output status | Published |
| Digital Object Identifier (DOI) | https://doi.org/10.1145/3812835.3814858 |
| Web address (URL) of conference proceedings | https://doi.org/10.1145/3812835 |
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