Science Robotics

From a scientific point of view, coastal waters are particularly interesting due to their heterogeneous characteristics influenced by factors such as currents, wind and fresh water runoff. However, such environment is also a challenge to study due to its dynamic spatiotemporal variation.

In the article “Toward adaptive robotic sampling of phytoplankton in the coastal ocean” NTNU researchers present methods and results from field experiments using an autonomous underwater vehicle (AUV) with embedded algorithms that focus sampling on features in three dimensions.


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