Observations are essential to explore and discovering the ocean. A sustained, persistent, and cost-effective presence in the oceans will help us to understand and monitor key issues such as climate change, ocean acidification, unsustainable fishing, and pollution. Since the recent developments in robotics and autonomous systems, unmanned marine vehicles have been proposed as a more convenient and flexible technology for ocean observation. With the increasing demand for ocean observation in extreme environments such as deep sea and polar regions, unmanned marine vehicles, including both unmanned surface vehicles (USVs) and unmanned underwater vehicles (UUVs), play a valuable role in the observation of our oceans to ensure safety to our most valuable natural resources. Characterized by rapid maneuverability, long operational range, low operating costs (both equipment and personnel costs), and high personnel safety, unmanned marine vehicles with suitable sensory modules have great potential for ocean observation. The advantages of using unmanned marine vehicles for ocean observations can overcome the limitations of traditional ocean observation methods and have a significant contribution to increasing the quantity and quality of measurements in the various fields of oceanography.
This Research Topic is dedicated to recent advances and future implications in unmanned marine vehicle technology in ocean observation. The use and deployment of unmanned marine vehicles in ocean observation have presented challenges in sensing, control, navigation, and communication. Your contributions can address the current state-of-the-art of research and development issues, approaches, techniques, or applications related to unmanned ocean observation systems. We seek to publish original and novel research in the following areas:
• Design of unmanned marine vehicles for ocean observation
• Navigation, path planning, and control of unmanned ocean observation vehicles
• Multiagent ocean observation systems
• Ocean observation system modeling and simulation
• Sensor systems for ocean observation
• AI/Machine learning methods in ocean observation
Observations are essential to explore and discovering the ocean. A sustained, persistent, and cost-effective presence in the oceans will help us to understand and monitor key issues such as climate change, ocean acidification, unsustainable fishing, and pollution. Since the recent developments in robotics and autonomous systems, unmanned marine vehicles have been proposed as a more convenient and flexible technology for ocean observation. With the increasing demand for ocean observation in extreme environments such as deep sea and polar regions, unmanned marine vehicles, including both unmanned surface vehicles (USVs) and unmanned underwater vehicles (UUVs), play a valuable role in the observation of our oceans to ensure safety to our most valuable natural resources. Characterized by rapid maneuverability, long operational range, low operating costs (both equipment and personnel costs), and high personnel safety, unmanned marine vehicles with suitable sensory modules have great potential for ocean observation. The advantages of using unmanned marine vehicles for ocean observations can overcome the limitations of traditional ocean observation methods and have a significant contribution to increasing the quantity and quality of measurements in the various fields of oceanography.
This Research Topic is dedicated to recent advances and future implications in unmanned marine vehicle technology in ocean observation. The use and deployment of unmanned marine vehicles in ocean observation have presented challenges in sensing, control, navigation, and communication. Your contributions can address the current state-of-the-art of research and development issues, approaches, techniques, or applications related to unmanned ocean observation systems. We seek to publish original and novel research in the following areas:
• Design of unmanned marine vehicles for ocean observation
• Navigation, path planning, and control of unmanned ocean observation vehicles
• Multiagent ocean observation systems
• Ocean observation system modeling and simulation
• Sensor systems for ocean observation
• AI/Machine learning methods in ocean observation
