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Briefing
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- AUV Algorithm – Oregon State University researchers created algorithm metrics to improve autonomous underwater vehicles' (AUV) efficiency by planning fastest routes to destination in strong currents, saving energy and making oceanography more efficient
- Framework Development – Involves sampling alternate paths and comparing them with metrics, letting AUVs decide best course amidst ocean currents, while also involving simulations using regional ocean modeling system and autonomous boat tests on windy lakes
- Potential Improvements – Three of current framework's five comparison metrics can be used to plan more efficient routes without depending on ocean current forecast and remove previous assumptions that waypoints equally spaced in time will improve energy efficient path planning
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Accelerator
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Organization
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Oregon State University
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Source
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Original Publication Date
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July 19, 2017
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