The sustained and cost-effective monitoring of the water quality within European coastal areas is of growing importance in view of the upcoming European marine and maritime directives, i.e. the increased industrial use of the marine environment. Such monitoring needs mechanisms/systems to detect the water quality in a large sea area at different depths in real time. This paper presents a system for the automated detection and analysis of water quality parameters using an autonomous underwater vehicle. The analysis of discharge of nitrate into Norwegian fjords near aqua farms is one of the main application fields of this AUV system. As carrier platform the AUV "CWolf" from the Fraunhofer IOSB-AST will be used, which is perfectly suited through its modular payload concept. The mission Task and the integration of the payload unit which includes the sensor module, the scientific and measurement computer in the AUV carrier platform will be described. Few practice oriented information about the software and interface concept, the function of the several software modules and the test platform with the several test levels to test every module will be discussed.
Graduate School of Oceanography, University of Rhode Island（罗德岛大学海洋研究生院）；Department of Ocean Engineering, University of Rhode Island（罗德岛大学海洋工程系）；Department of Mechanical, Industrial, and Systems Engineering, University of Rhode Island（罗德岛大学机械、工业与系统工程系）；Department of Electrical and Computer Engineering, Stevens Institute of Technology（史蒂文斯理工学院电气与计算机工程系）；Department of Marine Technology, Norwegian University of Science and Technology（挪威科学技术大学海洋技术系）
USV-AUV Collaboration Framework for Underwater Tasks under Extreme Sea Conditions
Tsinghua University（清华大学）；Tsinghua Shenzhen International Graduate School（清华大学深圳国际研究生院）；Zhejiang University（浙江大学）；College of Information Science & Electronic Engineering（信息科学与电子工程学院）；New Jersey Institute of Technology（新泽西理工学院）
Never too Cocky to Cooperate: An FIM and RL-based USV-AUV Collaborative System for Underwater Tasks in Extreme Sea Conditions
Tsinghua Shenzhen International Graduate School, Tsinghua University（清华大学深圳国际研究生院，清华大学）；Department of Data and Systems Engineering, The University of Hong Kong（数据与系统工程系，香港大学）；School of Engineering Science, University of Chinese Academy of Sciences（工程科学学院，中国科学院大学）；Department of Data Science, New Jersey Institute of Technology（数据科学系，新泽西理工学院）
A Differentiable Composite Approximation Framework for Autonomous Underwater Vehicle Maneuvering Modeling from Sea-Trial Data
College of Shipbuilding Engineering, Harbin Engineering University（哈尔滨工程大学船舶工程学院）；China Academy of Aerospace Aerodynamics（中国航天空气动力技术研究院）；Institute of Artificial Intelligence, Shanghai University（上海大学人工智能研究院）；China Ship Scientific Research Center（中国船舶科学研究中心）
Beyond Shallow-Water Photorealism: Physically and Sensor-Grounded Simulation for Deep-Sea Robotics
School of Engineering & Physical Sciences, Heriot-Watt University（赫瑞瓦特大学工程与物理科学学院）；Engineering Department, Japan Agency for Marine-Earth Science and Technology（日本海洋研究开发机构工程系）
