Papers
18
Total Citations
321
H-Index
11
About
Qizhi Meng is a robotics researcher whose work has substantially advanced the design, analysis, and optimization of parallel robotic systems, with particular focus on high-speed pick-and-place robots and motion/force transmissibility. His research spans mechanical design, kinematic analysis, performance evaluation, and calibration of parallel mechanisms, establishing him as a notable contributor to this technically demanding field. Among his most influential contributions is his development of screw theory-based frameworks for analyzing motion/force transmissibility in parallel robots with articulated platforms—work that addressed a significant gap in understanding multi-platform systems (44 citations). His 2017 conceptual design of a novel four-DOF spatial parallel robot for high-speed operations (35 citations) laid important groundwork for practical industrial applications. He further introduced innovative performance indices, including an acceleration capacity index tailored for high-speed parallel robots (41 citations), and pioneered methods for driving system parameter optimization and kinematic calibration to enhance real-world robot accuracy. More recently, Meng has explored redundantly actuated and overconstrained parallel architectures, Schönflies-motion robots (49 citations), and the emerging intersection of machine learning with parallel robotics. With over 280 cumulative citations across his most recognized works, his research continues to shape both the theoretical foundations and practical implementations of advanced parallel robotic systems.
Research Focus
Key Achievements
Top Papers
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- 7Motion–Force Interaction Performance of Parallel Robotic Mechanisms19 citations · 2025
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- 9SHUYU Robot: An Automatic Rapid Temperature Screening System17 citations · 2020
- 10Machine Learning Applications in Parallel Robots: A Brief Review12 citations · 2025