Shangyuan Zou

Jiangsu Academy of Safety Science & Technology

Papers

2

Total Citations

10

H-Index

2

About

Shangyuan Zou is a researcher specializing in robotics, with a particular focus on the kinematics, control, and analysis of parallel robotic systems. Their major contributions lie in advancing the understanding and computational efficiency of six-degree-of-freedom (6DOF) parallel robots, notably the 6-UPS configuration. In their highly cited 2018 work, Zou proposed a novel method for calculating the symmetrical workspace of a 6-UPS parallel robot using tilt and torsion angles, significantly improving the efficiency of closed-loop real-time feedback control. This work, with 8 citations, leverages the robot's inherent symmetries to reduce computational load. Building on this, their 2021 study tackled the challenge of singularity analysis for 6DOF parallel robots, introducing natural coordinates to enable three-dimensional visualization of six-dimensional position and orientation parameters—a problem previously unsolved. Though early in their career, Zou’s research offers practical solutions for enhancing the performance and safety of parallel robots in industrial applications, establishing a foundation for future work in robotic control and workspace optimization.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Symmetrical Workspace of 6-UPS Parallel Robot Using Tilt and Torsion Angles
8 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Jiangsu Academy of Safety Science & Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago