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About

Hordur Heidarsson is a leading researcher in marine robotics, specializing in autonomous systems for environmental monitoring and multi-robot coordination. His work focuses on developing intelligent algorithms for autonomous underwater vehicles (AUVs) and autonomous surface vehicles (ASVs) to tackle critical challenges in aquatic exploration and pollution response. Heidarsson’s most impactful contribution is his pioneering work on data-driven learning and planning for environmental sampling (80 citations), which enables robots to adaptively map and monitor dynamic aquatic environments. He also made significant advances in cooperative manipulation, introducing topological approaches for using cables to separate and transport objects (44 citations)—a technique directly inspired by oil spill skimming operations. His research on cooperative caging with autonomous surface vessels (29 citations) demonstrated how underactuated robots can work together to capture floating objects, while his experiments on multi-robot collaboration with range-limited communication (20 citations) addressed real-world constraints in marine operations. Heidarsson was instrumental in building the USC CINAPS infrastructure (64 citations), a pioneering networked robotic system for observing the Southern California Bight that bridges robotics and oceanography. His work has laid the foundation for more autonomous, resilient, and cooperative marine robotic systems.