Papers
9
Total Citations
186
H-Index
7
About
Alexandre Eudes is a leading researcher in robotics and autonomous navigation, with a primary focus on Simultaneous Localization and Mapping (SLAM) and multi-robot systems. His most significant contribution is the development of OV²SLAM, a fully online and versatile visual SLAM system that enables real-time applications in augmented reality, virtual reality, robotics, and autonomous driving—a work that has garnered over 100 citations. Eudes has pioneered robust navigation solutions that fuse visual data with magneto-inertial measurement units, creating systems capable of seamless indoor/outdoor operation without relying on external localization infrastructure. His research extends to decentralized multi-robot SLAM, where he has introduced innovative data-sharing strategies and algorithms—such as Factor Sparsification for Visual-Inertial Packets—that enable collaborative mapping among heterogeneous robot teams. Eudes also contributed the AirMuseum dataset, a benchmark for multi-robot stereo-visual and inertial SLAM, and has explored distributed control for human-multi-robot interactive swarming using Voronoi partitioning. With over 180 total citations across his publications, Eudes’ work bridges theoretical advances in observability and control with practical, real-world deployment in challenging environments.
Research Focus
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