About

Haiqiang Zhang is a robotics researcher whose work spans parallel robot mechanisms, kinematic analysis, and intelligent robotic systems design. His research has made substantial contributions to understanding and improving the performance of parallel manipulators, most notably through his widely cited 2015 study on kinematic accuracy reliability of a 3-DOF parallel robot manipulator (44 citations), which established rigorous error modeling frameworks connecting input-output relationships to real-world mechanism quality. Zhang has consistently pushed the boundaries of parallel robot design, proposing innovative configurations such as redundantly actuated 2RPU-2SPR mechanisms optimized for complex surface machining and developing adaptive robust synchronous control strategies to address the inherent dynamic complexity of parallel systems. His 2019 work on multimode dexterous hands — inspired by parallel mechanism synthesis using Lie group theory — reflects his versatility in applying advanced mathematical tools to practical end-effector design. Beyond industrial robotics, Zhang has ventured into medical and bio-inspired systems, contributing trajectory planning methods for spine surgery robots and single-actuated quadruped locomotion. With over 100 cumulative citations across a diverse portfolio, his research represents a meaningful bridge between theoretical mechanism design and real-world robotic applications.

Research Focus

Key Achievements

6
H-Index
10
Papers
119
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Analysis of the Kinematic Accuracy Reliability of a 3-DOF Parallel Robot Manipulator
44 citations · 2015
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Hebei University of Engineering, Beijing Jiaotong University, Shanghai University of Engineering Science, York University, Shandong University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago