About

Felipe Guth is a robotics researcher whose work sits at the intersection of autonomous underwater vehicles, simultaneous localization and mapping (SLAM), and biologically inspired computing. His most significant contribution is the development of DolphinSLAM, an open-source bio-inspired SLAM system that extends the celebrated RatSLAM framework — originally designed for 2D ground vehicles — into complex 3D underwater environments. Drawing on discoveries about mammalian navigation neurons, Guth pioneered the application of neurobiological principles to one of robotics' most demanding domains, where GPS is unavailable and sensor noise is severe. His 2015 paper introducing DolphinSLAM has accumulated 63 citations, while his comprehensive 2014 survey on underwater SLAM challenges and state-of-the-art solutions has garnered 49 citations, together establishing him as a foundational voice in the field. Complementing this research, Guth also contributed work on underwater simulation environments, providing the robotics community with essential testing infrastructure for deep-water applications. His body of work collectively addresses the critical gap between terrestrial robotic navigation and the uniquely hostile conditions of underwater exploration, offering open-source tools that continue to influence researchers developing next-generation autonomous underwater systems.

Research Focus

Key Achievements

4
H-Index
7
Papers
134
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
An Open-source Bio-inspired Solution to Underwater SLAM★
63 citations · 2015
📈 Most Prolific Year: 2013 (4 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Universidade Federal do Rio Grande, Universidade Federal do Rio Grande do Sul, University of Rio Grande and Rio Grande Community College

Top Papers

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    Underwater simulator for robotics applications in high depths
    3 citations · 2013
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago