We present Dolphin, an extensible programming language for autonomous vehicle networks. A Dolphin program expresses an orchestrated execution of tasks defined compositionally for multiple vehicles. Building upon the base case of elementary one-vehicle tasks, the built-in operators include support for composing tasks in several forms, for instance according to concurrent, sequential, or event-based task flow. The language is implemented as a Groovy DSL, facilitating extension and integration with external software packages, in particular robotic toolkits. The paper describes the Dolphin language, its integration with an open-source toolchain for autonomous vehicles, and results from field tests using unmanned underwater vehicles (UUVs) and unmanned aerial vehicles (UAVs). 1

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This paper presents a report from a cruise onboard the R/V Falkor oceanographic vessel from the Schmidt Ocean Institute. The goal of this cruise was to demonstrate a novel approach to observe the ocean with multiple underwater, surface, and aerial vehicles, as well with the R/V Falkor also used as the base and control center for all assets. We describe the planning phase leading up to the cruise, the technical approach, developments and timeline of results and decisions made throughout the cruise.Our approach combines a set of new technologies that enabled scientists and engineers to obtain a synoptic view of the study area, with adjustable spatial and temporal resolution, and to compare data collected in near real-time to the outputs of computational models. This approach was applied to map the Pacific Ocean's Subtropical front with unprecedented spatial and temporal resolutions.