Marvin Harms

Norwegian University of Science and Technology

Papers

Total Citations

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About

Dr. Marvin Harms is a rising leader in the field of safe and autonomous robotics, with a primary focus on the intersection of control theory and machine learning. His most impactful work to date, "Neural Control Barrier Functions for Safe Navigation" (2024), has already garnered 13 citations, establishing a novel methodology for synthesizing Control Barrier Functions (CBFs) directly from data. This breakthrough addresses a critical challenge in robotics: ensuring provable safety during autonomous navigation in completely unknown environments. By enabling robots to learn safety constraints on the fly, Harms’ research bridges the gap between theoretical guarantees and real-world deployment, a significant contribution to the broader field of safety-critical control. His work is particularly notable for moving beyond traditional, model-dependent approaches, offering a data-driven pathway to certifiably safe robot behavior. As a young researcher, Harms is already shaping the future of autonomous systems, making his work essential reading for anyone interested in robust, real-world robot navigation.