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SUMMARY:Automated Strategic Mission Planning for a Future Marine Autonomou
 s Vehicle Fleet - Maria Fox
DTSTART:20210329T100000Z
DTEND:20210329T110000Z
UID:TALK158680@talks.cam.ac.uk
CONTACT:Dr Irena Vankova
DESCRIPTION:In the marine research fleet of the future\, untethered autono
 mous vehicles will be much more prevalent than they are today\, meeting th
 e rapidly-growing demand for environmental data to inform policy decisions
  relating to climate\, sea level rise and ecosystems. This means that cont
 rollable autonomous vehicles will need to be used optimally to perform dat
 a gathering tasks\, especially in remote and hostile regions. To fully uti
 lise the autonomous fleet\, there will be a need for intelligent automated
  decision-making to command and control its role in long-term research cam
 paigns. Instead of each vehicle being separately tasked and piloted\, as i
 s the case now\, an automated strategic planning system will coordinate th
 e fleet to maximise the ocean area covered and optimise the quantity\, qua
 lity and type of data collected over the lifetime of a research campaign. 
  Strategic plans can be used to augment\, and eventually even replace\, so
 me of the human expertise currently needed to manage the fleet.\n\nTo gene
 rate high value plans for the fleet\, a strategic decision-making system w
 ill need to be informed by environmental simulations and predictions based
  on data. It will need an understanding of the risk to the vehicles\, and 
 how to minimise this risk without wasting opportunities. This talk will de
 scribe a plan-based approach to coordinating the activities of a fleet of 
 autonomous vehicles undertaking long-term campaigns in the Southern Ocean.
  The talk will discuss how predictions made by Machine Learning can be int
 egrated with combinatorial decision-making to generate plans that use the 
 fleet safely and effectively.
LOCATION:British Antarctic Survey\, Zoom
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