Ziyu She

Sun Yat-sen University

Papers

2

Total Citations

15

H-Index

2

About

Ziyu She is a robotics researcher whose work focuses on advancing robot control in complex, unstructured environments, with particular expertise in medical robotics and whole-body teleoperation. His most impactful contribution addresses the critical challenge of remote center of motion (RCM) constraint in robot-assisted minimally invasive surgery (RAMIS). In his highly cited 2021 paper, She pioneered an innovative approach that integrates model predictive control with fuzzy approximation, offering an independent workspace solution that significantly enhances surgical robot manipulation under RCM constraints—a fundamental problem that few researchers had effectively tackled. His work on whole-body spatial teleoperation control of hexapod robots in unstructured environments (2021) demonstrates his broader commitment to combining human intelligence with robotic autonomy, addressing the critical gap in robotic manipulation when external conditions are unpredictable. With a growing citation footprint, She’s research stands at the intersection of surgical precision and adaptive control, offering practical solutions that bridge the gap between theoretical control methods and real-world robotic applications. His work is particularly relevant for researchers exploring model predictive control, fuzzy systems, and teleoperation in challenging operational settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Incorporating model predictive control with fuzzy approximation for robot manipulation under remote center of motion constraint
10 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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