Papers
1
Total Citations
9
H-Index
1
About
Zhuoyi Li is a robotics researcher specializing in autonomous navigation for multirotor systems, with a particular focus on enabling reliable operation in GNSS-denied environments. His most impactful work, "Autonomous navigation of a multirotor robot in GNSS-denied environments for search and rescue" (2022), has garnered 9 citations and addresses a critical challenge in field robotics: how unmanned aerial vehicles can maintain precise localization and path planning when satellite signals are unavailable, such as in collapsed buildings, dense forests, or underground tunnels. This contribution is vital for advancing search and rescue missions, where rapid, GPS-independent navigation can mean the difference between life and death. Li's research integrates sensor fusion, visual-inertial odometry, and robust control algorithms to create systems that can autonomously explore hazardous, unstructured spaces. By tackling the intersection of aerial robotics and emergency response, his work has practical implications for disaster management and first responder technologies. Li continues to push the boundaries of autonomous flight, aiming to make multirotor robots more resilient and capable in the most challenging real-world conditions.
Research Focus
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Top Papers
- 1