Papers
7
Total Citations
45
H-Index
4
About
Cuihua Zhang is a robotics researcher whose work focuses on enabling service robots to operate intelligently in complex, unstructured domestic environments. Her research spans key areas including robot navigation, object segmentation, motion planning, and task execution. Zhang’s most influential work, "User preference-aware navigation for mobile robot in domestic via defined virtual area" (2020, 21 citations), introduced a novel approach to integrating human preferences into robotic navigation systems. She has made significant contributions to zero-shot learning in robotics, as demonstrated by her 2025 paper on Zero-Shot Object Instance Segmentation using vision foundation models (11 citations), which addresses the critical challenge of enabling robots to recognize and segment unknown objects without extensive training data. Zhang has also advanced robot localization in dynamic indoor environments with similar layouts and developed prediction-based real-time motion planning algorithms. Her earlier work includes innovative mechanical designs such as a cam drive step mechanism for quadruped robots and a visual control system for agricultural spraying robots. Through her research, Zhang is helping bridge the gap between current robotic capabilities and the demands of long-term autonomous operation in real-world home environments.
Research Focus
Key Achievements
Top Papers
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- 4Cam Drive Step Mechanism of a Quadruped Robot4 citations · 2014
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