Jiamei Deng

University of Reading

Papers

1

Total Citations

7

H-Index

1

About

Jiamei Deng is a researcher whose work bridges robotics and control theory, with a particular focus on the predictive control of robotic manipulators. Their most cited paper, "Predictive Computed-Torque Control of a PUMA 560 Manipulator Robot" (2005), introduced an advanced control strategy that combines computed-torque methods with predictive algorithms to enhance the precision and stability of industrial robot arms. This work, which has garnered 7 citations, addresses critical challenges in trajectory tracking and disturbance rejection, offering a practical framework for improving the performance of widely used robotic platforms like the PUMA 560. Deng’s contributions are especially relevant to the fields of automation and mechatronics, where robust control is essential for tasks ranging from assembly to surgical robotics. By integrating predictive elements into classical control architectures, Deng has helped advance the reliability of robotic systems in dynamic environments. Their research continues to influence engineers and academics seeking to optimize robot motion control, making it a valuable reference for students and professionals exploring the intersection of predictive algorithms and real-world robotic applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
PREDICTIVE COMPUTED-TORQUE CONTROL OF A PUMA 560 MANIPULATOR ROBOT
7 citations · 2005
📈 Most Prolific Year: 2005 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Reading

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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