The field of marine environmental monitoring and robotics is rapidly advancing, driven by the need for scalable and accurate solutions to address the pressing issues of climate change, ocean conservation, and sustainability. Recent developments have focused on leveraging artificial intelligence, computer vision, and machine learning to improve the efficiency and effectiveness of monitoring and restoration efforts. Notably, researchers are exploring the use of large vision-language models, underwater robotics, and advanced sensor technologies to enhance our understanding of marine ecosystems and mitigate the impacts of human activities.

Some noteworthy papers in this area include: AI-driven Dispensing of Coral Reseeding Devices for Broad-scale Restoration of the Great Barrier Reef, which presents an automated deployment system for coral re-seeding devices using AI, computer vision, and robotics. HydroVision: Predicting Optically Active Parameters in Surface Water Using Computer Vision, which introduces a deep learning-based framework for estimating water quality parameters from standard RGB images. AI-Driven Marine Robotics: Emerging Trends in Underwater Perception and Ecosystem Monitoring, which examines the rapid emergence of underwater AI as a major research frontier and analyzes the factors driving innovation in this area.