Vision-Based Autonomous Navigation for Sustainable Robotics in Marine Environment
This research aims to enhance autonomous underwater navigation by integrating vision-based sensor fusion and AI control. Focusing on complex marine environments, it will develop high-resolution environmental models using camera and sonar data, ultimately promoting efficient and sustainable exploration of underwater ecosystems through improved navigation and data collection methods.
Research Opportunities
Summary
This proposed research seeks to enhance autonomous navigation for robotics in marine environments by integrating vision-based sensor fusion with AI-driven robotic control systems. The primary objective is to develop effective methodologies that enable autonomous underwater robots (AURs) to navigate successfully, even in challenging conditions such as limited visibility, complex seafloor topographies, and varying environmental factors. Traditional sonar-based navigation techniques often lack the precision for detailed, real-time underwater mapping. As a result, this project’s emphasis on advanced vision-based solutions is both timely and impactful.
The project seeks to integrate visual data from cameras and sonar sensors to generate precise, real-time 3D models of underwater environments. This data will be processed using AI-driven algorithms designed to interpret depth, identify objects, and detect environmental changes. These algorithms will be closely linked with robotic control systems to facilitate seamless and adaptive navigation capabilities. The research will focus on establishing reliable sensor fusion strategies that effectively work in tandem with control mechanisms, ensuring real-time navigation and obstacle avoidance.
This research will be executed in three main phases:
- The first phase will focus on capturing synchronised visual and sonar data. High-precision calibration will align data from camera and sonar sensors, creating a solid foundation for subsequent algorithmic processing and integration.
- In the second phase, machine learning models will be developed to enhance the robot’s ability to interpret its environment. This will facilitate depth estimation and object identification, enabling the construction of accurate and dynamic 3D maps—crucial for navigating and adapting to underwater conditions.
- Finally, the last phase will concentrate on developing integration strategies that connect AI-driven environmental understanding with robotic control systems. This will ensure that the robot can navigate autonomously and respond in real-time to underwater obstacles and terrain.
Through its innovative approach to sensor fusion and AI in underwater environments, this research aims to advance sustainable marine exploration and environmental monitoring. Strengthened robotic capabilities in data collection and navigation will support sustainable practices in the marine industry and provide valuable insights for ocean conservation efforts.
The ideal candidate for this research should have a background in similar fields such as robotics, computer vision, or artificial intelligence and possess programming skills (C++, Python & MATLAB, OpenCV, Open3D) and experience with machine learning frameworks (e.g., TensorFlow or PyTorch). Familiarity with oceanography or underwater technology would be beneficial but is not required. The project will provide comprehensive training in sensor fusion, data analysis, and control integration.
Supervisors
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Research Themes
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We welcome specific ideas from applicants for a potential research degree topic. The University offers a number of potential self-funded topics in each School which you could consider developing your research project around.
It is not unusual for a proposed research degree topic to evolve as you progress through the application stage and even your future studies. This ensures the best match of your academic/professional experience with that of your supervisory team.
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Entry requirements
Entry Requirements for Research Degrees
Normal entry requirements are a first or upper second class honours degree from a University of the United Kingdom, or from an overseas University, or degree equivalent qualification, subject to the approval of Robert Gordon University.
Applicants holding other qualifications shall be considered on their merits and in relation to the nature and scope of the proposed research programme.
Applicants will normally register for an MSc/PhD or MRes/PhD with transfer to PhD dependent on satisfactory progress. However, applicants who already possess a Master’s degree which includes a significant research component could be registered directly for a PhD, subject to a satisfactory research proposal, and clear evidence of research expertise.
Some Research Degree Topics require employment experience, research experience and/or transcripts for international qualifications.
Contact researchdegrees@rgu.ac.uk to see if you are eligible.
English Language
Any applicant whose first language or language of previous University-level instruction is not English must normally demonstrate competence in English. This should be a score of IELTS 6.5 with 6.5 in all elements, or an approved equivalent.
We accept a variety of in-country and secure English language tests, find out more:
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Fees & Costs
For Academic Year 2024/2025
UK/EU Students
- Full time - £4,786 per academic year
- Part time MPhil/PhD - £2,870 per academic year
- Part time MRes/MSc by research - £2,390 per academic year
International Students
- Full time - £19,450 per academic year
- Part-time MPhil/PhD - £11,670 per academic year
- Part-time MRes/MSc by research - £9,720 per academic year
For Academic Year 2023/2024
UK/EU Students
- Full time - £4,712 per academic year
- Part time MPhil/PhD - £2,830 per academic year
- Part time MRes/MSc by research - £2,356 per academic year
International Students
- Full time - £18,700 per academic year
- Part-time MPhil/PhD - £11,220 per academic year
- Part-time MRes/MSc by research - £9,350 per academic year
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Funded Studentships
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How to Apply
Applications
All applications should be made via the University's online application for research students.
Before you apply, find out more about the application process, research proposal writing guides, routes and durations:
Our Research degrees usually start in February and October each year. There are no formal deadlines for you to submit your application, though we recommend you submit it as early as possible in order to ensure we can help you join us at your preferred time.
Completed application forms should be accompanied by:
- Degree certificate
- Statement of purpose, detailing why you would like to study this degree in the UK, and why you have chosen RGU.
- A short research proposal, in the range of 1,500 - 3,000 words, containing a rationale and background, study aims and objectives, a literature review, proposed research methods and a full reference list.
Further guidance on the application process:
English Language Requirements
All applicants whose first language is not from a recognised English speaking country will be asked to provide evidence of their English language skills as part of their offer to study at RGU.
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