Jihe Wang

Papers

1

Total Citations

2

H-Index

1

About

Dr. Jihe Wang is a leading researcher in advanced robotic control systems, with a primary focus on precision tracking, friction compensation, and robust control of manipulators under uncertainty. His most-cited work, "Practical Prescribed Tracking Control of n-DOF Robotic Manipulator with Uncertainties via Friction Compensation Approach" (2024), introduces a novel control strategy that achieves prescribed tracking performance for robotic arms with unknown dynamics. The key innovation lies in integrating an improved extended state observer (ESO) with friction compensation, offering a simpler and more implementable solution compared to prior complex methods. This work has already garnered 2 citations shortly after publication, signaling strong early impact. Dr. Wang’s contributions are particularly valuable for real-world applications where model inaccuracies and friction effects degrade performance, such as in industrial automation and collaborative robotics. His research bridges the gap between theoretical control design and practical deployment, making sophisticated control accessible to engineers. By addressing the critical challenge of uncertain dynamics, Dr. Wang continues to advance the frontier of intelligent robotic systems, earning recognition for his pragmatic yet powerful approaches.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Practical Prescribed Tracking Control of n-DOF Robotic Manipulator with Uncertainties via Friction Compensation Approach
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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