Zhangyan Peng
Wuhan Institute of Technology, Xi'an University of Technology
Papers
2
Total Citations
12
H-Index
2
About
Zhangyan Peng is a robotics researcher whose work centers on robot kinematics, inverse kinematics, and parallel mechanism analysis. His major contributions include developing a neural network-based approach to solve inverse kinematics for industrial robots, specifically applying the R package "neuralnet" to the ABB IRB7600-500, a 6-revolute joint robot arm. This method addresses the limitations of traditional techniques by enabling precise movement from one position to a desired target with minimal error. His most cited paper on this topic has garnered 7 citations, reflecting its practical relevance in robotics automation. Additionally, Peng has advanced the understanding of parallel robots through his study of a 3-DOF 3-PRS mechanism, where he introduced a novel method to analyze kinematic characteristics and singularities. By deriving the square Jacobian matrix and clarifying the relationships between the robot's three degrees of freedom and the other three constrained motions, he provided critical insights into mechanism constraints. This work, with 5 citations, underscores his impact on parallel robot design and control. Peng's research bridges computational methods and mechanical analysis, offering valuable tools for engineers and researchers in robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2