Jonas le Fevre Sejersen
Papers
6
Total Citations
57
H-Index
3
About
Jonas le Fevre Sejersen is a robotics researcher whose work bridges the critical gap between simulation and real-world deployment, particularly in challenging underwater and aerial environments. His primary research areas span underwater robotics, multi-agent systems, and autonomous inspection, with a focus on developing realistic simulation frameworks and synthetic datasets that enable robust algorithm transfer. Sejersen’s most impactful contribution is the UNav-Sim framework, a visually realistic underwater robotics simulator that addresses the longstanding sim-to-real gap in underwater navigation, accumulating 32 citations since 2023. Building on this, he created MIMIR-UW, a multipurpose synthetic dataset for SLAM, depth estimation, and object segmentation that has garnered 16 citations, providing the research community with essential tools for underwater perception and navigation. His work extends to aerial robotics with a visual tracking nonlinear model predictive control method for autonomous wind turbine inspection, and to multi-agent coordination through the CAMETA framework for conflict-aware arrival time prediction. Sejersen’s research demonstrates a consistent commitment to creating practical, high-fidelity tools that accelerate the deployment of autonomous systems in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
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