Underwater Environment
Underwater environment research focuses on developing robust and efficient methods for exploration, mapping, and object manipulation in challenging aquatic settings. Current efforts concentrate on improving autonomous underwater vehicle (AUV) navigation and perception using advanced computer vision techniques (e.g., convolutional neural networks, transformers, and deep unfolding networks), acoustic sensing, and innovative robotic designs (e.g., biomimetic robots, soft robots). These advancements are crucial for various applications, including search and rescue, environmental monitoring, and infrastructure inspection, ultimately enhancing our understanding and interaction with the underwater world.
Papers
Computational Approaches for Modeling Power Consumption on an Underwater Flapping Fin Propulsion System
Brian Zhou, Jason Geder, Alisha Sharma, Julian Lee, Marius Pruessner, Ravi Ramamurti, Kamal Viswanath
Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning
William Yik, Maike Sonnewald, Mariana C. A. Clare, Redouane Lguensat