Papers
33
Total Citations
668
H-Index
13
About
Hua Zhu is a prominent robotics researcher whose work sits at the intersection of autonomous navigation, localization, and intelligent systems for hazardous environments, with a particular focus on coal mine rescue and exploration robots. His most impactful contributions center on developing robust localization and mapping solutions for GPS-denied, structurally complex underground settings. His 2020 paper on UWB-based localization augmented with inertial sensors (148 citations) addresses critical positioning challenges for coal mine robots, while his widely read 2018 review of visual-inertial SLAM (122 citations) has become an important reference for the broader robotics community navigating filtering- and optimization-based approaches. Zhu has also advanced laser-based 3D SLAM tailored to mine rescue scenarios (60 citations) and contributed foundational hardware work through mobile platform design for rocker-type rescue robots. His research extends into tactile perception, bio-inspired swarm algorithms, and gas concentration prediction—demonstrating a systems-level approach to autonomous operation in dangerous environments. Collectively, Zhu's work has shaped the development of coal mine rescue robotics, offering meaningful solutions to protect human lives during underground disasters.
Research Focus
Key Achievements
Top Papers
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- 3Efficient Laser-Based 3D SLAM for Coal Mine Rescue Robots60 citations · 2018
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- 5Mobile platform of rocker-type coal mine rescue robot30 citations · 2010
- 6Characterization of Tactile Perception and Optimal Exploration Movement30 citations · 2015
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- 9TENTACLES: Self-configuring robotic radio networks in unknown environments17 citations · 2009
- 10