Robosys Automation and the UK’s University of Strathclyde are to collaborate to explore underwater object detection.
The two organisations have signed a Knowledge Exchange Agreement to support a new project to explore underwater object detection using neuromorphic sensing.
The aim of the project is to develop the encoding mechanisms for multimodal data collected through neuromorphic sensors for underwater object detection.
Robosys Automation points out that challenges to underwater object detection include limited optical sensor visibility due to water turbidity and lack of light penetration.
There is also interference due to environmental factors such as tides, temperatures and salinity, alongside financial implications due to the requirement for specialist equipment and increased maintenance frequency.
The University of Strathclyde’s Dr Chaitanya Patil, lecturer in naval architecture, ocean and marine engineering is leading the project, working with the EEE Department’s NSSP lab research director, Dr Gaetano Di Caterina.
The Robosys’ technical team continually explores novel methods of pushing the envelope.
Aditya Nawab
Neuromorphic supported intelligence features brain-inspired efficiency, enabling robotics to learn and adapt to new scenarios and operations.
“As maritime industry innovators, the Robosys’ technical team continually explores novel methods of pushing the envelope,” said Aditya Nawab, Robosys Automation founder, CEO and CTO.
“This project with the University demonstrates this, with change detection sensing working hand-in-hand with cooperative and competitive computation for perception and control, which will enable ever-increased learning and problem solving, being essential in the future of a safer, smarter and greener maritime.”
Robosys is collaborating with the University of Strathclyde’s Department of Naval Architecture, Ocean and Marine Engineering (NAOME) and NSSP (Neuromorphic Sensor Signal Processing) lab from the Department of Electrical and Electronics Engineering (EEE).
The company will also fund the testing of the sensing technology for underwater object detection using novel technologies.
