| Issue |
EPJ Web Conf.
Volume 367, 2026
Fifth International Conference on Robotics, Intelligent Automation and Control Technologies (RIACT 2026)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 10 | |
| Section | Robotics Design and Control | |
| DOI | https://doi.org/10.1051/epjconf/202636701008 | |
| Published online | 29 April 2026 | |
https://doi.org/10.1051/epjconf/202636701008
Optimization of an Autonomous Underwater Vehicle for Enhanced Stability
1 Mechanical Engineering Department, School of Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, 382481, India
2 Electronics and Communication Engineering Department, School of Technology, Institute of Technology, Nirma University, Ahmedabad, Gujarat, 382481, India
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 29 April 2026
Abstract
AUVs have essential applications in oceanic investigations, environmental characterization, and subsea surveys where accuracy in positioning and stability for navigation is challenging. AUV proposed in the present work addresses these issues by utilizing a novel thruster configuration and an underwater adaptive control scheme for stability. The thruster layout helps the AUV to maneuverers in six degrees of freedom. The system uses an Adaptive PID controller, that adjusts the control parameters in real-time, which allows for a smooth and efficient running of the process as the environment changes. The AUV integrates sensor fusion, adaptive control and propulsion design. This work demonstrates a feasible and robust approach suitable for future AUV missions which requiring precision, versatility and reliability.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

