Yi‐De Wu

China University of Geosciences

Papers

2

Total Citations

25

H-Index

2

About

Yi‐De Wu is a researcher specializing in the control of networked robotic systems, with a particular focus on hierarchical and finite-time control strategies. His work addresses critical challenges in multi-robot coordination, including task-space bipartite tracking—a problem of ensuring that robots in a network can achieve consensus on opposing objectives, such as moving toward or away from a target. Wu’s most cited paper (2020, 19 citations) introduces a hierarchical finite-time control method that guarantees rapid, precise convergence for such systems, offering a robust solution for applications like formation control and cooperative manipulation. More recently, he has advanced the field of space teleoperation with a hierarchical cloud-supported control (HCSC) framework (2023, 6 citations), which leverages cloud computing to overcome the limitations of long-distance communication and data processing. This framework enhances the cooperation and manipulability of networked follower robots, making it a promising approach for future space missions. Wu’s contributions are notable for their theoretical rigor and practical relevance, bridging the gap between advanced control theory and real-world robotic applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
25
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Task-space bipartite tracking of networked robotic systems via hierarchical finite-time control
19 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: China University of Geosciences

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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