Meng Xiao
Papers
1
Total Citations
3
H-Index
1
About
Meng Xiao is a researcher in robotics and control systems, with a focus on adaptive algorithms for precise robotic manipulation. Their most-cited work, "Constant-force curved-surface-tracking with robotic manipulator based on adaptive iterative algorithm" (2019), introduces a novel approach to maintaining consistent contact force during robotic tracking of curved surfaces—a critical challenge in manufacturing, inspection, and surgical applications. By developing an adaptive iterative algorithm, Xiao enables robots to autonomously adjust to surface irregularities without requiring pre-programmed models, improving both accuracy and safety. This contribution has garnered 3 citations, reflecting its relevance in advancing force-controlled robotics. Xiao's research bridges theoretical control methods and practical robotic tasks, offering solutions for high-precision automation. Their work is particularly notable for addressing real-world constraints, such as unknown surface geometries and dynamic disturbances, making it valuable for students and researchers exploring adaptive control, human-robot interaction, or industrial automation.
Research Focus
Key Achievements
Top Papers
- 1