Max Robotics — Global Service Robot Directory + US Certification

About

Trygve Olav Fossum is a marine robotics researcher whose work sits at the intersection of autonomous systems, adaptive sampling, and ocean science. Best known for his pioneering contributions to intelligent robotic ocean sampling, Fossum has developed methods that enable autonomous underwater vehicles (AUVs) and other robotic platforms to dynamically respond to complex, heterogeneous coastal and Arctic environments. His most cited work, "Toward adaptive robotic sampling of phytoplankton in the coastal ocean" (2019, 90 citations), exemplifies his focus on resolving fine-scale spatiotemporal variability in the water column — a challenge of growing importance in the context of climate change. Alongside information-driven sampling frameworks and Gaussian process-based statistical models, Fossum has advanced the integration of ocean models with robotic platforms to target scientifically valuable phenomena such as upwelling, internal waves, and Arctic frontal zones. His collaborative work on heterogeneous autonomous vehicle networks — combining AUVs, UAVs, and unmanned surface vehicles — further demonstrates his commitment to scalable, coordinated marine observation systems. With over 200 cumulative citations, Fossum's research is shaping the next generation of efficient, data-driven ocean exploration tools.