← Back to Research Radar
Scientific Literature Scientific Literature

Optimization of an Autonomous Underwater Vehicle for Enhanced Stability

Devarsh Solanki, Moksh Kandhari, Kutbuddin Petrolwala, Mihir Chauhan, Akash Mecwan
April 29, 2026
Published Date

Research Abstract & Technology Focus

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.
Read Full Literature

AI Semantic Synergy Context

Connecting this academic literature to real-world market discussions and products.

openalex.org › research concept
0%

Integrating Proximal Policy Optimization with Physically Realistic Simulation for Robust Autonomous Underwater Vehicle Control

This study presents the design and implementation of a reinforcement learning (RL)-based framework for the control of an autonomous underwater vehicle (AUV) directly within Unreal Engine (UE). A hi...

openalex.org › research concept
0%

Instantaneous Planning, Control and Safety for Navigation in Unknown Underwater Spaces

Navigating autonomous underwater vehicles (AUVs) in unknown environments is significantly challenging due to poor visibility, weak signal transmission, and dynamic water currents. These factors pos...

openalex.org › research concept
0%

Analysis of advanced modified tuna swarm optimization technique for path planning of underwater vehicle

Purpose Path planning with obstacle avoidance is crucial for navigating an autonomous underwater vehicle (AUV) in an unknown and obstacle-rich three-dimensional space. This paper aims to develop an...

openalex.org › research concept
0%

Pioneering Robotic Autonomous Underwater Vehicle (AUV) with Electric Field Gradient Sensor – Transforming UnderWater Pipeline Inspections

Abstract Conventional underwater pipeline inspections typically utilize Remotely Operated Vehicles (ROVs) tethered to Dynamic Positioning Class 2 (DP2) vessels, which entail significant expenses. T...

openalex.org › research concept
0%

Development of a New Intelligent Algorithm to Improve Autonomous Car Operation

Autonomous Driving Systems (ADS) are transforming modern transportation by enabling safer, more efficient vehicle operation. Among their core components, local path planning remains a significant c...

Frequently Asked Questions (FAQ)

Curated market intelligence mapped to this research.

What is the core focus of the research titled 'Optimization of an Autonomous Underwater Vehicle for Enhanced Stability'?

This literature focuses on: 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 ut...

What other academic literature is closely related to 'Optimization of an Autonomous Underwater Vehicle for Enhanced Stability'?

Yes, highly correlated activity was mapped. An entry titled 'Integrating Proximal Policy Optimization with Physically Realistic Simulation for Robust Autonomous Underwater Vehicle Control' discusses this: This study presents the design and implementation of a reinforcement learning (RL)-based framework for the control of an autonomous underwater vehi...

Cite this Market Intelligence Report

Reference our AI-mapped synergy between this research and the commercial market to instantly build authority.