BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Maria Fox (Schlumberger Cambridge Research) DTSTART:20210329T100000Z DTEND:20210329T110000Z DTSTAMP:20260423T021419Z UID:BAS-PO/19 DESCRIPTION:Title: Automated Strategic Mission Planning for a Future Marine Autonomous Vehicl e Fleet\nby Maria Fox (Schlumberger Cambridge Research) as part of BAS Polar Oceans Seminar\n\n\nAbstract\nIn the marine research fleet of the f uture\, untethered autonomous vehicles will be much more prevalent than th ey are today\, meeting the rapidly-growing demand for environmental data t o inform policy decisions relating to climate\, sea level rise and ecosyst ems. This means that controllable autonomous vehicles will need to be used optimally to perform data gathering tasks\, especially in remote and host ile regions. To fully utilise the autonomous fleet\, there will be a need for intelligent automated decision-making to command and control its role in long-term research campaigns. Instead of each vehicle being separately tasked and piloted\, as is the case now\, an automated strategic planning system will coordinate the fleet to maximise the ocean area covered and op timise the quantity\, quality and type of data collected over the lifetime of a research campaign. Strategic plans can be used to augment\, and eve ntually even replace\, some of the human expertise currently needed to man age the fleet.\n\nTo generate high value plans for the fleet\, a strategic decision-making system will need to be informed by environmental simulati ons and predictions based on data. It will need an understanding of the ri sk to the vehicles\, and how to minimise this risk without wasting opportu nities. This talk will describe a plan-based approach to coordinating the activities of a fleet of autonomous vehicles undertaking long-term campaig ns in the Southern Ocean. The talk will discuss how predictions made by Ma chine Learning can be integrated with combinatorial decision-making to gen erate plans that use the fleet safely and effectively.\n LOCATION:https://researchseminars.org/talk/BAS-PO/19/ END:VEVENT END:VCALENDAR