Robotic Detection of Marine Litter Using Deep Visual Detection Models IEEE International Conference on Robotics and Automation, May 2019 Product: Oceanic Trash Collecting Robot Environmental Impact: Reducing oceanic trach Planetary Boundary: Freshwater Use Keywords: Marine litter, Underwater trash removal, robotic detection, AUV, Freshwater Use, Marine Robotics, Preventive Solution Description: Using autonomous underwater vehicles (AUVs) to locate and remove marine trash may reduce oceanic pollution. This paper evaluates deep-learning algorithms put to the task of detecting trash in underwater environments. The paper provides insights into approaches for future trash removal AUVs.
Robotic Environmental DNA Bio-Surveillance of Freshwater Health Scientific Report Journal, September 2020 Product: Water Sampling Robot Environmental Impact: Monitoring the levels of biochemicals in the water Planetary Boundary: Ocean Acidification, Freshwater Use Keywords: Ocean monitoring, Marine environment, Oceanic data collection, Water samples, Freshwater Use, Marine Robotics, Autonomous underwater vehicle, Preventive solution Description: Autonomous water sampling technologies could help to monitor biological threats to freshwater ecosystems as well as filter and preserve the captured material once identified. Originally adapted from a marine environmental sample processor (ESP), this experiment found that this device was as effective as manual sampling methods.