Weixing Peng

Hunan University

Papers

5

Total Citations

190

H-Index

5

About

Dr. Weixing Peng is a leading researcher in intelligent robotics and manufacturing, specializing in vision-based control, 3D measurement, and digital twin technologies. His most cited work, an adaptive image-based formation control strategy for mobile robots with visibility constraints (129 citations), addresses critical challenges in multi-robot coordination using only onboard cameras. Dr. Peng has made transformative contributions to automated inspection, pioneering a digital twin framework for robotic measurement of freeform surface parts (23 citations) that enhances autonomy and efficiency in intelligent manufacturing. He also developed a stochastic joint alignment method for multiple point clouds, enabling high-precision 3D reconstruction of profiled blades (17 citations), and advanced viewpoint planning algorithms using visibility cone space exploration (9 citations). His recent review on active robotic 3D measurement (12 citations) outlines key trends shaping smart factories. Dr. Peng’s work bridges theoretical control and practical metrology, with applications in aerospace and automotive industries. His research has been widely adopted for improving measurement accuracy and operational autonomy, making him a pivotal figure in the evolution of robotic manufacturing systems.

Research Focus

Key Achievements

5
H-Index
5
Papers
190
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Image-Based Leader–Follower Formation Control of Mobile Robots With Visibility Constraints
129 citations · 2020
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Hunan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago