Zhaoping Tang
Papers
2
Total Citations
13
H-Index
2
About
Dr. Zhaoping Tang is a leading researcher in the field of robotic reliability, with a specific focus on enhancing the precision and dependability of industrial and large-scale robotic systems. Her primary research areas include non-probabilistic reliability analysis, kinematic modeling under uncertainty, and reliability partitioning methods for complex robotic manipulators. Dr. Tang’s major contribution lies in addressing the critical challenge of joint clearance—a common source of motion error in robots—by developing a non-probabilistic kinematic model that quantifies the impact of these uncertainties on positional accuracy. Her most cited work, "Non-Probabilistic Reliability Analysis of Robot Accuracy under Uncertain Joint Clearance" (2022, 11 citations), provides a foundational framework for ensuring high-precision operations in fields like aerospace and manufacturing. More recently, her 2025 study on reliability partitioning for large workspace robots tackles the uneven error distribution across vast operational spaces, offering a novel method that accounts for system uncertainties often ignored by conventional approaches. Through her innovative use of non-probabilistic methods, Dr. Tang is paving the way for more robust and accurate robotic systems, making her work essential reading for engineers and researchers striving to push the boundaries of automation in high-stakes environments.
Research Focus
Key Achievements
Top Papers
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