Papers
23
Total Citations
122
H-Index
6
About
Julien Marzat is a robotics and autonomous systems researcher whose work spans multi-robot coordination, 3D environment mapping, autonomous navigation, and distributed control. His research is particularly distinguished by contributions to cooperative robotic systems, where he has pioneered approaches to large-scale 3D surface reconstruction using truncated signed distance field (TSDF) representations across both centralized and distributed multi-robot architectures — work that has attracted significant attention within the robotics community. Marzat has also made meaningful advances in semantic-aware path planning and continuous implicit environmental representations, enabling ground robots to navigate complex, unstructured terrains more safely and intelligently. His expertise extends to formation control of robot manipulators over signed networks, iterative learning observers for repetitive processes, and human-swarm interaction using Voronoi-based distributed algorithms. Beyond research, Marzat has demonstrated a commitment to education and accessibility, co-developing DroMOOC, a widely enrolled open online course on drones and aerial multi-robot systems. His earlier work on low-cost quadrotor UAV design and experimental cooperative guidance with mobile robots reflects a consistent thread of bridging theoretical rigor with practical implementation, making his contributions valuable to both academic researchers and engineering practitioners.
Research Focus
Key Achievements
Top Papers
- 1
- 2Distributed 3D TSDF Manifold Mapping for Multi-Robot Systems12 citations · 2019
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- 6Full design of a low-cost quadrotor UAV by student team7 citations · 2012
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- 8Cooperative Guidance of Lego Mindstorms NXT Mobile Robots6 citations · 2014
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