NI: NERC-MOST: Development of Multiple Collaborative Unmanned Marine Vehicles for Monitoring and Removing Marine Debris

Lead Research Organisation: Queen's University Belfast
Department Name: Sch of Electronics, Elec Eng & Comp Sci

Abstract

The marine debris catastrophe is beginning to catch serious attention worldwide due to its severe impacts on environment and ecosystem. This project addresses the need for ocean monitoring and cleaning techniques to reduce the effects of marine litter. The proposed project will provide core technologies necessary for the development of Unmanned Surface Vehicle-linked-Unmanned Underwater Vehicles (USV-linked-UUVs) system to enable these vehicles can work more safely, efficiently and collaboratively. To unleash the full potential of ocean exploration, several scientific boundaries must be pushed, ensuring the efficiency of both USV and UUVs. This research will fill critical technological gaps in robotic design, localization, control and coordination to promote the applications of USV and UUV team for marine monitoring and cleaning tasks. In specific, four important advanced technologies will be developed in this project: (i) design of heterogeneous USV-linked-UUVs system, (ii) dynamic behaviors analysis of USV-linked-UUVs System, (iii) path planning optimization-based collaborative control for USV-UUVs team, and (iv) integrated Robotic Operating System-Mission Orientated Operating Suite (ROS-MOOS) middleware to facilitate the communication between UUVs and USV. Theoretical advancements will proceed alongside with experimental research toward demonstrating the potential of marine robotics to efficiently reduce the marine debris.

Publications

10 25 50
 
Description Development of lightweight deep learning method for underwater objects detection.
Development of multiple collaborative vehicles.
Exploitation Route The use of underwater objects detection and multiple collaborative vehicles can be applied for other ocean condition monitoring tasks.
Sectors Aerospace, Defence and Marine,Agriculture, Food and Drink,Electronics,Energy,Environment,Transport

 
Description Using for cleaning marine pollution.
First Year Of Impact 2022
Sector Aerospace, Defence and Marine,Environment
Impact Types Societal

 
Description Artificial Intelligence-Enhanced Digital Twin for Multiple Collaborative Underwater Vehicles
Amount £19,793 (GBP)
Funding ID RGS\R1\221356 
Organisation The Royal Society 
Sector Charity/Non Profit
Country United Kingdom
Start 03/2022 
End 03/2023
 
Description Development of Resilient and Collaborative Autonomous Marine Vehicles for Underwater Monitoring and Construction
Amount £12,000 (GBP)
Organisation The Royal Society 
Sector Charity/Non Profit
Country United Kingdom
Start 04/2022 
End 02/2024
 
Description Digital twins for underwater operations
Amount £11,000 (GBP)
Funding ID UKRAS Network 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 05/2022 
End 04/2023
 
Title Marine debris dataset WPBB 
Description we created the in-water plastic bags and bottles (WPBB) dataset and made it publicly available. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact This dataset can be used for researchers from computer science field to develop real time detection for marine debris. 
URL https://github.com/fedezocco/MoreEffEffDetsAndWPBB-TensorFlow
 
Description Develop a partnership with Dr. Wang from National Chiao Tung University 
Organisation National Chiao Tung University
Country Taiwan, Province of China 
Sector Academic/University 
PI Contribution - Organize the meetings between two teams. - Update the project outcomes - Discuss the next stage of the project
Collaborator Contribution - Participate the meetings - Provides advises on the research outcomes and publications. - Discuss the next stages of the project.
Impact - A journal paper 'Towards More Efficient EfficientDets and Real-Time Marine Debris Detection' is writing.
Start Year 2021
 
Description School Open day 
Form Of Engagement Activity Participation in an open day or visit at my research institution
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Undergraduate students
Results and Impact - Introduce research project to students: 20 students attended the introduction of the project.
- Many students have shown their interest to the project.
Year(s) Of Engagement Activity 2021