Meijing Wang
Papers
1
Total Citations
3
H-Index
1
About
Meijing Wang is a rising researcher in the field of robotics, with a primary focus on the kinematics and control of multi-arm robotic systems. Their most-cited work, "Singularity Analysis and Mode-Switching Planning of a Symmetrical Multi-Arm Robot" (2025), introduces a novel symmetrical multi-arm robot designed for continuous high-performance operation. By leveraging branch-chain switching to change operation modes, Wang addresses a critical challenge in robotics: avoiding singularities while maintaining seamless performance. The paper establishes and solves the kinematics and Jacobian matrix of the mechanism, providing parameter expressions for singularity occurrence—a foundational contribution for mode-switching planning. Although early in their career, with 3 citations to date, this work demonstrates Wang’s innovative approach to enhancing robot versatility and reliability. Their research holds promise for applications in manufacturing, assembly, and collaborative tasks where uninterrupted, precise motion is essential. Wang’s work is particularly valuable for students and engineers exploring advanced robotic design and control strategies, offering a fresh perspective on achieving adaptability through structural symmetry and intelligent mode transitions.
Research Focus
Key Achievements
Top Papers
- 1