Lianzheng Ge

Harbin Institute of Technology

Papers

13

Total Citations

120

H-Index

6

About

Lianzheng Ge is a leading researcher in human-robot collaboration and industrial robotics, with a focus on enhancing the safety, precision, and autonomy of robotic systems. His work spans human-robot interaction, kinematic calibration, and dynamic performance optimization, addressing critical challenges in both collaborative and autonomous robots. Ge’s most cited paper, "An Augmented Discrete‐Time Approach for Human‐Robot Collaboration" (2016, 29 citations), pioneers methods to improve interactive performance between humans and robots, a cornerstone of next-generation robotics. He also developed a novel calibration method combining Levenberg-Marquardt and particle filter algorithms for industrial robots (2020, 18 citations), significantly boosting absolute positioning accuracy. His research extends to mobile robotics, including abnormal pedestrian trajectory detection for public safety (2021, 11 citations) and target recognition using monocular PTZ cameras (2019, 9 citations). Ge’s contributions have practical implications for manufacturing, service robotics, and security, with cumulative citations exceeding 100. His work on redundancy resolution for mobile dual-arm robots (2016, 8 citations) and motion optimization for humanoid robots (2021, 6 citations) further underscores his impact on advancing robotic dexterity and adaptability.

Research Focus

Key Achievements

6
H-Index
13
Papers
120
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
An Augmented Discrete‐Time Approach for Human‐Robot Collaboration
29 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Harbin Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago