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About

Renato Mendes is a marine robotics researcher whose work sits at the dynamic intersection of autonomous systems, ocean science, and adaptive sampling. His research focuses on developing intelligent robotic platforms — including autonomous underwater vehicles (AUVs), surface vehicles, and aerial robots — to observe and characterize complex coastal and open-ocean phenomena that traditional ship-based or satellite methods cannot adequately resolve. Mendes has made significant contributions to the field of information-driven and adaptive robotic ocean sampling, pioneering methods that couple robotic systems with ocean models to efficiently track dynamic features such as phytoplankton patches, upwelling fronts, internal waves, and estuarine outflows. His most cited work, "Toward adaptive robotic sampling of phytoplankton in the coastal ocean" (2019, 90 citations), demonstrates how robotic fleets can intelligently navigate heterogeneous coastal waters influenced by currents, wind, and bathymetry. His 2018 paper on information-driven sampling (55 citations) further established frameworks for coordinated multi-robot ocean exploration. Notably, Mendes has contributed to large-scale multi-vehicle field campaigns aboard research vessels including the R/V Falkor, developing novel front-tracking algorithms and coordinated exploration strategies. His work collectively advances humanity's capacity to monitor rapidly changing ocean systems with unprecedented spatial and temporal resolution.