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About

Xiaodong Yi is a robotics and autonomous systems researcher whose work spans simultaneous localization and mapping (SLAM), multi-robot coordination, and communication-aware motion planning. His research has made meaningful contributions to the field of mobile robotics, accumulating over 200 citations across his most recognized publications. Among his most impactful contributions is his work on 3D mapping using 2D laser scanners combined with IMU-aided visual SLAM (31 citations), demonstrating innovative sensor fusion techniques that advance real-world robot navigation. His collaborative SLAM system, CORB-SLAM (27 citations), extended these capabilities to multi-robot scenarios, enabling coordinated spatial understanding across robot teams. Yi has also distinguished himself through pioneering research on communication-motion planning for wireless relay-assisted robot systems, with multiple papers exploring how mobile robots can intelligently optimize both their movement and wireless connectivity simultaneously. His broader contributions include efficient 3D spatial representations for path planning (22 citations), fault-tolerant multi-robot software frameworks built on ROS, and a comprehensive survey on multi-robot coordination in electromagnetically adversarial environments. His soccer-playing robot design further reflects his versatility across applied robotics domains. Collectively, Yi's research addresses fundamental challenges in making autonomous robot teams more robust, spatially aware, and communicatively resilient in complex real-world environments.