Shijie Yang

Nanjing University of Science and Technology

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About

Shijie Yang is a leading researcher in multi-agent robotic systems, with a primary focus on cooperative localization and autonomous navigation in GNSS-challenged environments. His most-cited work, "An Aerial and Ground Multi-Agent Cooperative Location Framework in GNSS-Challenged Environments" (2022, 13 citations), introduces a novel collaborative SLAM framework that enables unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) to jointly localize and map through image feature point matching, even when global satellite signals are unavailable. This contribution is critical for advancing resilient multi-robot operations in GPS-denied settings, such as disaster zones or subterranean spaces. Yang’s research bridges the gap between aerial and ground platforms, enhancing their synergy for real-world deployment. His work has been recognized for its practical impact on autonomous systems, and he continues to push the boundaries of cooperative perception and navigation. For students and researchers interested in multi-agent robotics, SLAM, or GNSS-denied navigation, Yang’s framework offers a foundational approach to achieving robust, scalable localization in challenging environments.