REP18 Atlantic – A Large Scale Exercise Using Unmanned Systems, Field Report

Lima, Keila; Dias, Paulo Sousa; Costa, María João; Pinto, José; Marques, Tânia; Sousa, João Borges de; Cardigos, Sara; Mendes, Renato

doi:10.1109/oceanse.2019.8867283

Cited by 1 publication

(1 citation statement)

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“…The m2m communication is shaped to achieve machine-consensus on task allocation and sequencing between platforms based on their metadata profiles and constraints. Collaborative robotics and m2m communications have enabled adaptive sampling (Branch et al, 2019) and extended operations (Lima et al, 2019) in coastal areas, provided an abstract mission planning paradigm.…”

Section: Automation and Collaborative Roboticsmentioning

confidence: 99%

Collaborative Automation and IoT Technologies for Coastal Ocean Observing Systems

et al. 2021

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Coastal observing systems are typically nationally funded and built around national priorities. As a result, there are presently significant differences between countries in terms of sustainability, observing capacity and technologies, as well as methods and research priorities. Ocean observing systems in coastal areas must now move toward an integrated, multidisciplinary and multiscale system of systems, where heterogeneity should be exploited to deliver fit-for-purpose products that answer the diversity and complexity of the requirements from stakeholders and end-users. Essential elements of such distributed observation systems are the use of machine-to-machine communication, data fusion and processing applying recent technological developments for the Internet of Things (IoT) toward a common cyberinfrastructure. This perspective paper illustrates some of the challenges for sustained coastal observations and provides details on how to address present gaps. We discuss the role of collaborative robotics between unmanned platforms in coastal areas and the methods to benefit from IoT technologies. Given present trends in cost-effective solutions in ocean sensors and electronics, and methods for marine automation and communication, we consider that a distributed observation system can effectively provide timely information in coastal regions around the world, including those areas that are today poorly observed (e.g., developing countries). Adaptation in space and time of the sensing nodes, and the flexibility in handling different sensing platforms can provide to the system the ability to quickly respond to the rapid changes in oceanic and climatic processes, as well as to promptly respond to evolving stakeholder and end-user requirements.

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Section: Automation and Collaborative Roboticsmentioning

confidence: 99%