Nicolas Gorlo

Massachusetts Institute of Technology, ETH Zurich

Papers

Total Citations

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About

Nicolas Gorlo is a robotics researcher whose work lies at the intersection of autonomous navigation, human-robot interaction, and aerial manipulation. His key research areas include long-term human trajectory prediction and novel aerial robotic systems for infrastructure construction. In his highly cited 2024 paper, "Long-Term Human Trajectory Prediction Using 3D Dynamic Scene Graphs," Gorlo introduced a groundbreaking approach that moves beyond short-term collision avoidance to enable robots to anticipate human movements over extended horizons—a critical capability for long-horizon planning in indoor environments. This work has already garnered 13 citations, reflecting its immediate impact on the field. Equally notable is his development of "Geranos," a novel tilted-rotors aerial robot designed for the precise transportation of poles in challenging terrains. This system addresses the longstanding problem of load swinging during helicopter-based construction, eliminating the need for dangerous manual placement by ground crews. With 8 citations, this work demonstrates Gorlo's ability to solve real-world engineering challenges. His contributions are paving the way for more intelligent, safer, and more capable robotic systems in both domestic and industrial settings.