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Bowen, Andrew D.

Publications and source records attributed to Bowen, Andrew D..

4 records
All sourcesNASA NTRSDOE OSTI
NASA NTRS2020

Evaluation of AUV Search Strategies for the Localization of Hydrothermal Venting

Ocean Worlds represent one of the best chances for the dis- covery of extra-terrestrial life within our own solar system, particularly near sources of hydrothermal venting. To study the oceans on Ocean Worlds will require a new type of mis- sion to penetrate the icy shell, deploy an autonomous under- water vehicle (AUV), and travel potentially hundreds of kilo- both inspired by (Burian et al. 1996). We have improved a meters with minimal contact to Earth based operations teams. previously-developed nested search strategy (Branch et al. To maximize the science return, the AUV would need to be capable of fully autonomously locating and studying scien- tific features of interest. We have developed two strategies to locate sources of hydrothermal venting: a gradient ascent strategy and a greedy transect search strategy. We have im- proved a previously-implemented nested search strategy by adding a vertical search component. Each strategy is tested in a hydrothermal plume dispersion simulation. We compare the effectiveness of each method in this environment.

Seewald, Jeffrey S.↗
NASA NTRS2020

Demonstration of Autonomous Nested Search for Local Maxima using an Unmanned Underwater Vehicle, ICRA Submission

Ocean Worlds represent one of the best chances for extra-terrestrial life in our solar system. A new mission concept must be developed to explore these oceans. This mission would require traversing the 10s of km thick icy shell and releasing a submersible into the ocean below. During the transit of the icy shell and the exploration of the ocean, the vehicle(s) would be out of contact with Earth for weeks or potentially months at a time. During this time the vehicle must have sufficient autonomy to locate and study scientific targets of interest. One such target of interest is hydrothermal venting. We have previously developed an autonomous nested search method to locate and investigate sources of hydrothermal venting by locating local maxima in hydrothermal vent emissions. In this work we demonstrate this approach on board an OceanServer Iver2 AUV in Chesapeake Bay, MD using simulated sensor data from a hydrothermal plume model. This represents the first step towards the deployment of this approach in conditions analogous to those that we might expect on an Ocean World.

Branch, Andrew↗
NASA NTRS2018

Autonomous Nested Search for Hydrothermal Venting

Ocean Worlds in the outer solar system represent one of the best chances for the discovery of extra-terrestrial life. Bodies, such as Europa and Enceladus, are thought to harbor liquid oceans, often encased in a thick icy shell. In order to further investigate these oceans, a new mission concept needs to be developed, a submersible craft. This vehicle would be required to traverse the icy shell and travel hundreds or even thousands of kilometers to survey the ocean below. In doing this, the vehicle might be out of contact for weeks or months at a time. The vehicle must be able to autonomously detect,locate, and study features of interest. One potential target is hydrothermal venting, due to their unique ecosystems on Earth. We have developed an autonomous, nested search strategy to locate sources of hydrothermal venting based on currently used methods. To test this search technique a simulation environment was developed using a hydrothermal plume dispersion simulation and a vehicle model. We show the effectiveness of the search method in this environment.

Seewald, Jeffrey S.↗