Tag: Marine Robotics

A new simulation study shows that a disturbance-observer-based adaptive neuro-fuzzy sliding mode controller tuned by a chaotic grey wolf optimizer ...

A systematic review of 94 studies finds that deep learning models, especially GAN-based architectures, outperform classical methods for underwater image ...

Researchers developed GDH-Det, an underwater object detection method that uses a conditional diffusion network to synthesize degraded training images and ...

Researchers at Harbin Normal University have developed WFGformer, a dual-branch transformer network that uses Haar wavelet frequency decomposition to restore ...

In the cutting-edge world of marine robotics, the exploration of underwater environments has taken a significant leap forward with the ...