Yihan Zhu

Papers

Total Citations

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About

Yihan Zhu is a robotics researcher focused on advancing multi-robot cooperative localization (MRCL) for outdoor environments. His primary research areas include collaborative localization systems, sensor fusion, and cloud-integrated robotic networks. Zhu's major contribution lies in developing novel approaches to overcome the limitations of GPS-based localization in multi-robot systems. In his most cited work (2024, 4 citations), he proposed a trilateral localization algorithm that combines least-squares matrix and gradient descent methods, enabling three unmanned ground vehicles (UGVs) equipped with shared cameras and laser rangefinders to achieve precise baseline measurements. His earlier work (2023, 1 citation) pioneered the integration of cloud computing with laser rangefinder-based MRCL, addressing critical accuracy challenges in outdoor applications such as shipping, production, and logistics. By replacing low-precision GPS measurements with laser rangefinder data, Zhu's research offers a robust alternative for environments where satellite signals are unreliable. His work represents an important step toward practical, scalable multi-robot systems capable of operating autonomously in real-world outdoor settings, with potential applications spanning industrial automation to search-and-rescue operations.