Wenyang Zhu
Papers
1
Total Citations
10
H-Index
1
About
Wenyang Zhu is a researcher focused on advancing robotic automation for electric vehicle (EV) infrastructure, with particular expertise in impedance control and kinematic modeling. Their most cited work, "A research on the control strategy of automatic charging robot for electric vehicles based on impedance control" (2022, 10 citations), develops a kinematic model for the UR5e robot using the Denavit-Hartenberg (D-H) method and simulates joint loads during automatic charging gun insertion tasks. This contribution addresses a critical challenge in EV adoption—automating the charging process to improve convenience and efficiency. Zhu's research bridges robotics and sustainable energy, demonstrating how precise control strategies can enable safe, reliable human-robot interaction in real-world applications. By focusing on the mechanical and control aspects of autonomous charging, their work lays groundwork for scalable robotic solutions in smart infrastructure. With growing interest in EV technology, Zhu's findings are increasingly cited by engineers developing next-generation charging systems, highlighting their impact on both robotics and clean energy sectors.
Research Focus
Key Achievements
Top Papers
- 1