Yeping Peng
Papers
3
Total Citations
57
H-Index
3
About
Yeping Peng is a researcher at the forefront of intelligent robotics and computer vision, with key contributions spanning welding automation, agricultural 3D reconstruction, and assistive exoskeleton systems. Their work on weld joint identification—a critical challenge in manufacturing—introduced a novel method combining image features with Support Vector Machines (SVM) for visual sensor-based robotic welding, achieving 28 citations and demonstrating high precision and stability in real-world environments. In agricultural technology, Peng advanced 3D tree reconstruction by developing a point cloud registration technique using Fast Point Feature Histogram (FPFH) descriptors, enabling accurate monitoring of tall plants via UAV-based low-altitude remote sensing (25 citations). This work addresses a persistent challenge in single-camera systems. Additionally, Peng tackled data management in healthcare robotics by designing a distributed database cloud platform for lower-limb exoskeletons, solving large-scale storage issues for long-term multi-robot monitoring. With over 57 citations across these impactful studies, Yeping Peng’s interdisciplinary approach—integrating sensor fusion, machine learning, and cloud architecture—is driving practical innovations in industrial, agricultural, and medical robotics.
Research Focus
Key Achievements
Top Papers
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