BUGWRIGHT2 is a collaborative project co-funded by the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No. 871260.
The objective of BUGWRIGHT2 is to bridge the gap between the current and desired capabilities of ship inspection and service robots by developing and demonstrating an adaptable autonomous robotic solution for servicing ship outer hulls.
The project consists of a large consortium bringing together not only the technological knowledge from academia but the complete value chain of the inspection robotic market:
In addition, specialists in maritime laws and workplace psychologists will ensure that the digitalisation of this market sector is designed around user acceptance. Finally, a specialist in innovation will lead the dissemination and exploitation activities.
By combining the survey capabilities of autonomous Micro Air Vehicles (MAV) and small Autonomous Underwater Vehicles (AUV), with teams of magnetic-wheeled crawlers operating directly on the surface of the structure, the project inspection and cleaning system will be able to seamlessly merge the acquisition of a global overview of the structure with performing a detailed multi-robot visual and acoustic inspection of the structure, detecting corrosion patches or cleaning the surface as necessary – all of this with minimal user intervention.
The detailed information provided will be integrated into a real-time visualization and decision-support user-interface taking advantage of virtual reality technologies. Although ships are the targeted application, BugWright2 technology may be easily adapted to different structures assembled out of metal plates, and in particular to storage tanks, our secondary application domain.
Pilot – Teleoperated survey
Pilot – Integration localisation
Pilot – Real-time monitoring
Pilot – Autonomous survey with MAVs
Pilot – Autonomous survey with AUVs
Pilot – Autonomous survey with Crawlers (aerial sensor suite)
Pilot – Autonomous survey with Crawlers (underwater sensor suite)
Pilot – Autonomous survey with multiple identical robots
Pilot- Autonomous survey with an heterogeneous robot team
Project completed