Zhuhua Hu
Papers
12
Total Citations
163
H-Index
6
About
Zhuhua Hu is a leading researcher in robotics perception and autonomous navigation, with a primary focus on visual simultaneous localization and mapping (vSLAM) and intelligent agricultural robotics. Her most significant contributions lie in developing robust vSLAM systems that operate reliably under challenging real-world conditions, particularly in dynamic indoor environments with sudden lighting changes and limited on-device resources. Her 2024 comprehensive overview of core vSLAM modules has already garnered 61 citations, establishing it as a key reference in the field. Hu has pioneered adaptive lighting vSLAM techniques (37 citations) and semantic SLAM methods for dynamic scenes, including the ATY-SLAM and AGAM-SLAM systems. Beyond navigation, she has made notable contributions to agricultural robotics, developing autonomous monitoring robots for intelligent pest detection and segmentation of Pyralidae insects, work that has practical implications for crop protection. Her research also extends to energy- and time-aware data acquisition using mixed cognition particle swarm optimization, addressing critical constraints in mobile robot operations. With over 150 total citations across her publications, Hu continues to advance the frontiers of robust, adaptive robotic perception systems.
Research Focus
Key Achievements
Top Papers
- 1A comprehensive overview of core modules in visual SLAM framework61 citations · 2024
- 2An Adaptive Lighting Indoor vSLAM With Limited On-Device Resources37 citations · 2024
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- 5Agricultural Robot for Intelligent Detection of Pyralidae Insects10 citations · 2019
- 6ATY-SLAM: A Visual Semantic SLAM for Dynamic Indoor Environments8 citations · 2023
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- 8AGAM-SLAM: An Adaptive Dynamic Scene Semantic SLAM Method Based on GAM5 citations · 2023
- 9GMM and DRLSE Based Detection and Segmentation of Pests4 citations · 2019
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