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Published: 2016-10-11 at 09:00
Invited lecture "Robotics for...


The H2020 project "EXCELLABUST - Excelling LABUST in marine robotics" organized the lecture


" Robotics for challenging ocean intervention in marine renewable energy and other applications


given by Daniel Toal,  University of Limerick, Ireland. 



The lecture took place on Thursday, 6th October 2016, at 09:00 in Hotel Adriatic (Ilirija Resort) in Biograd na Moru, Croatia in the scope of the 1st EXCELLABUST summer school Breaking the Surface 2016. More about the speaker and the talk can be found in the detailed news content and at BtS web page.


Oil and gas is going further down the slope into deeper waters and under ice. Other emerging sectors with large off shore installations in challenging environments include; Marine Renewable Energy -MRE (wave, tidal, offshore wind) and Offshore Aqua-culture, inter alia. Large infrastructure installed in these environments offer significant challenges for robotic operations in construction/ installation, inspection repair maintenance (IRM), decommissioning, remediation, salvage, search and rescue and more. These require intervention robotic capabilities beyond the challenges addressed in offshore sectors such as oil and gas production which uses ROV technology supported by surface vessels for intervention and uses AUVs for remote survey/inspection. The tasks robots will face will, under many circumstances, be above operating limits of ROV platform technology. AUV solutions will not be capable of addressing the significant challenges on intervention in these environments in a safe manner. Robust. smart semi autonomous robotic solutions are required as illustrated in this talk. Manipulators for intervention on work-class ROVs use, hydraulic systems and are fully reliant on pilot in the loop for control based on scene feedback through cameras with little/motion/disturbance of the ROV or target infrastructure. Base vehicle motion is generally implemented ‘pilot in the loop’ from surface support vessels. For high energy wave and tidal MRE, conventional robotic technology system approaches are likely to fail. The target devices for intervention are often in motion. This talk will outline challenges to be faced and solutions to address these challenges under development at the Mobile & Marine Robotics Research Centre at the University of Limerick. Developments for base vehicle control and operation, with real-time video and high resolution sonar servoing systems to develop control strategies for intervention in motion are described amongst others.



Daniel Toal is a chartered engineer in Electrical and Systems Engineering: (Hons Dip Elec Eng, Dublin Institute of Technology; BSc (eng) University of Dublin (TCD); MSc - Manufacturing Systems Engineering, Cranfield University, UK; PhD Marine Robotics, University of Limerick (UL)). He is currently an Associate Professor at UL and has taught: Automation, Robotics, Instrumentation, Avionics, Sensors, and Electrical Machines. Daniel is also a Co PI of the SFI Centre MaRIE - Marine & Renewable Energy Ireland (www.marei.ie).
Daniel is the founder and director of the Mobile & Marine Robotics Research Centre (www.MMRRC.ul.ie) at the University of Limerick. With the MMRRC research team, Dan has led the design & build of ROV Latis – a 1,000m depth rated ‘smart’ vehicle along with many other platforms. On-going research addresses unique challenges of operating in ’high energy’ wind, wave and tidal regimes of marine renewable and airborne wind energy. Research also addresses robotic platform development for response in offshore marine incidents, search and rescue (SAR) and marine salvage. Daniel has been chief scientist for numerous off shore research surveys on Celtic Explorer, Celtic Voyager, INS LÉ Eithne, and other vessels. His vision is that the Marine, Marine Technology, Ocean Environment, and Renewable Energy Sectors will grow in crucial importance.

Ivana Mikolić
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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 691980.