Following the successful completion of the initial phase, SeeByte, ASV and the Marine Biological Association of the United Kingdom have been awarded funding to carry out phase two of the Adaptive Autonomous Ocean Sampling Networks (AAOSN) research study.
The aim of the project is to reduce the complexity and frequency of operator input when supervising large fleets of autonomous systems from the shore, ASV’s press release reads.
Extending the tagged fish work carried out in phase one, this second phase will seek to design autonomous behaviours to address five scenarios including oil spill, passive acoustic monitoring (PAM), seabed mapping, fish tracking and tidal mixing.
According to ASV, the behaviours will integrate sensor data and interpretation methods to enable adaptive, multi-vehicle missions using combinations of ASV, AUV and Glider assets.
Trials for this project will be conducted integrating SeeByte’s Neptune, which already forms the basis of the UK Maritime Autonomy Framework (MAF), onto various autonomous assets including the ASV’s C-Enduro, a long endurance Autonomous Surface Vehicle, using a common interface and control system, it is stated in ASV’s press release.
SeeByte’s Neptune is an adaptive planning tool for optimising the execution of AUV operations
ASV is a US-based manufacturer of Unmanned Marine Systems that specializes in Unmanned Surface Vehicle (USV) concept design, build and commissioning, operation and maintenance.
Image: ASV