This research develops electrostatic artificial muscles for underwater robots inspired by the movement of fish and sharks. Unlike noisy propeller-driven systems, these soft actuators enable quieter, more efficient swimming that minimises disturbance to marine ecosystems, offering a promising alternative for environmental monitoring, reef surveys, and underwater infrastructure inspection.

Marine debris severely harms ocean ecosystems, yet most cleanup focuses only on floating waste. This research develops underwater robots equipped with specialized computer vision to detect and remove submerged trash. By training algorithms for challenging underwater conditions, the work enables safer, scalable cleanup operations and supports long-term ocean preservation.