Papers
2
Total Citations
32
H-Index
2
About
Te Zhang is a leading researcher in autonomous navigation and heterogeneous robotic cooperation, with a focus on enabling safe and effective operation in GNSS-denied environments. Her major contributions center on developing intelligent ground-air cooperative navigation frameworks, particularly using visual-aided methods to overcome the limitations of traditional satellite-based positioning systems. In her most cited work (2021, 25 citations), she proposed a novel framework that allows heterogeneous robots—such as ground vehicles and UAVs—to collaborate in complex indoor settings where GNSS signals are weak or unavailable. Her earlier work (2018, 7 citations) addressed the challenge of equipping UAVs with reliable navigation without heavy onboard sensors, leveraging ground-aerial vehicle cooperation for vision-based guidance. Zhang’s research is pivotal for advancing autonomous systems in GPS-denied scenarios, with applications in search-and-rescue, infrastructure inspection, and military operations. Her innovative approach to cooperative navigation has established her as a key figure in the field, inspiring further exploration into robust, sensor-light solutions for real-world autonomous missions.
Research Focus
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Top Papers
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