Aquaculture, the rearing and harvesting of organisms in water environments, is a rapidly expanding industry that now produces more seafood than all wild caught fisheries worldwide. This inevitable growth must be steered towards sustainable production practices, which requires intensive monitoring in areas that are difficult and potentially dangerous to access. The vision of this project is to improve the efficiency and sustainability of near-shore aquaculture production through integrating a flexible, customizable, multi-task vehicle fleet, consisting primarily of unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs), with a biologically-relevant framework for accelerated prototyping. This project will use oyster production along the Eastern US shoreline as a case study and testbed.

This project advances the state of knowledge about how to infer misconceptions and generate explanations without any explicit models of a programming language. In contrast to existing approaches, which involves manual identification of misconceptions in programming languages, or cross- language migrations������������������which provide translations but no explanations������������������our technique automatically discovers inconsistencies cross-languages and supports automatic resolution for problematic translations.

Funding is requested by the underwater robotics club to aid in the building of their robot for the 2022 Robosub competition. This is an international competition with more than 50 teams from around the world competing to build and run an underwater vehicle through a set of challenges. The contest is held annually in San Diego Ca.