Chia-Hsiang Menq

The Ohio State University, Ohio Department of Education

Papers

9

Total Citations

261

H-Index

6

About

Chia-Hsiang Menq has made foundational contributions to robot calibration, precision control, and workspace analysis. His pioneering work on identifying observable error parameters using Singular Value Decomposition (SVD) established a rigorous framework for separating observable from unobservable error subspaces, directly improving robot positioning accuracy—a paper cited 83 times. He further advanced the field by developing statistical methods to characterize robot position errors and by experimentally investigating measurement configuration selection to maximize observability, enhancing calibration robustness (45 citations). In control, Menq introduced novel strategies for on-off valve pneumatic actuators, achieving accurate position control despite nonlinear friction and pneumatic nonlinearities (70 citations). His theoretical studies on dexterous workspace boundaries for simple manipulators remain influential (28 citations). Menq also contributed to surface identification from unorganized point clouds using normal sensitivity analysis. His work bridges theory and practice, providing engineers with tools to improve robot accuracy in manufacturing environments. With over 260 total citations across his most-cited papers, Menq’s research continues to inform modern robotics calibration, control, and metrology.

Research Focus

Key Achievements

6
H-Index
9
Papers
261
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Identification and Observability Measure of a Basis Set of Error Parameters in Robot Calibration
83 citations · 1989
📈 Most Prolific Year: 1989 (4 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: The Ohio State University, Ohio Department of Education

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago